CN110769157A - Image acquisition control method, device and storage medium - Google Patents

Abstract

The present disclosure relates to an image acquisition control method, device and storage medium, belonging to the technical field of image processing. The method is executed by computer equipment, and the computer equipment includes an image acquisition component. The method includes: receiving an image acquisition instruction When the shooting scene is a specified scene, the first image is collected by the image acquisition component, and the first image is an image whose exposure duration is the first duration; when the shooting scene is not the specified scene, the first image is collected by the image acquisition component. Two images, the second image is an image whose exposure duration is the second duration; wherein, the first duration is longer than the second duration. In the present disclosure, a shooting scene is acquired by a computer device, and when the acquired shooting scene is a designated scene, an image whose exposure duration is the first duration is acquired by an image acquisition component, thereby reducing imaging defects when shooting an interface displayed in a progressive scanning manner, Improves the display of images captured in the specified scene.

Description

Image acquisition control method, device and storage medium

technical field

The embodiments of the present disclosure belong to the technical field of image processing, and in particular, to an image acquisition control method, a device, and a storage medium.

Background technique

With the continuous development of science and technology, it is a very common phenomenon that people use terminals to take pictures in daily life.

In daily life, people can use the terminal to shoot data such as scenery, files, and tasks, and display the captured images on the display screen of the terminal. At present, when a display screen displays an image, it is often displayed in a progressive scan manner. The display screen may include an LCD (Liquid Crystal Display, liquid crystal display screen) display screen, an LED (Light Emitting Diode, light-emitting diode) display screen, an OLED (Organic Light-Emitting Diode, organic light-emitting diode) display screen, and the like. When the user uses the terminal to photograph the images displayed on the display screens, the captured images can also be displayed on the screen of the terminal in the manner of line-by-line scanning.

SUMMARY OF THE INVENTION

Embodiments of the present disclosure provide an image acquisition control method, device, and storage medium. The technical solution is as follows:

According to an aspect of the embodiments of the present disclosure, an image acquisition control method is provided, the method is executed by a computer device, and the computer device includes an image acquisition component, and the method includes:

When receiving the image acquisition instruction, acquire the shooting scene;

When the shooting scene is a specified scene, a first image is collected by the image acquisition component, and the first image is an image whose exposure duration is the first duration; the specified scene is displayed in a progressive scan manner. The interface to shoot the scene;

When the shooting scene is not the designated scene, collecting a second image by the image acquisition component, where the second image is an image with an exposure duration of a second duration;

Wherein, the first duration is greater than the second duration.

Optionally, when the shooting scene is a designated scene, collecting the first image by the image collecting component includes:

setting the exposure duration of the image acquisition component to the first duration;

The first image is acquired by the image acquisition component after the exposure duration is set.

Optionally, when the shooting scene is a designated scene, collecting the first image by the image collecting component includes:

Collecting n frames of temporary images by the image acquisition component, the temporary images are images with an exposure duration of a third duration, and the first duration is n times the third duration; n is an integer greater than or equal to 2;

Perform image synthesis according to the n frames of temporary images to obtain the first image.

Optionally, the third duration is within an exposure duration region corresponding to the safety shutter of the image capturing component.

Optionally, the performing image synthesis according to the n frames of temporary images to obtain the first image includes:

The first image is obtained by superimposing and synthesizing pixels with the same position in the n-frame temporary images.

Optionally, when the image acquisition instruction is received, before acquiring the shooting scene, the method further includes:

acquiring a shooting preview image, where the shooting preview image is an image collected before the image acquisition component receives the shooting instruction;

The shooting scene is determined according to the shooting preview image.

Optionally, the determining the shooting scene according to the shooting preview image includes:

The shooting preview image is processed by a scene classification model to obtain the shooting scene;

The scene classification model is a machine learning model pre-trained according to training samples, the training samples include at least one of positive samples and negative samples, and the positive samples are images marked as the specified scene, so The negative samples are images marked as not the specified scene.

Optionally, the shooting preview images include m frames of preview images; m is an integer greater than or equal to 2;

The processing of the shooting preview image by the scene classification model to obtain the shooting scene includes:

The m frames of preview images are respectively processed by the scene classification model to obtain the probability that each of the m frames of preview images belong to the specified scene;

The shooting scene is acquired according to the probability that each of the m frames of preview images belongs to the specified scene.

Optionally, the shooting scene is a scene determined according to a selection operation performed on the scene selection control in the shooting preview interface before the image acquisition instruction is received.

According to another aspect of the embodiments of the present disclosure, there is provided an image capture control apparatus, the apparatus is used in computer equipment, the computer equipment includes an image capture component, and the apparatus includes:

The scene acquisition module is used to acquire the shooting scene when receiving the image acquisition instruction;

A first collection module, configured to collect a first image through the image collection component when the shooting scene is a designated scene, where the first image is an image with an exposure duration of a first duration; The scene where the interface is displayed in a progressive scan manner;

a second acquisition module, configured to acquire a second image through the image acquisition component when the shooting scene is not the designated scene, where the second image is an image whose exposure duration is the second duration;

Wherein, the first duration is greater than the second duration.

Optionally, the first collection module includes: a duration setting unit and a first collection unit;

the duration setting unit, configured to set the exposure duration of the image acquisition component to the first duration;

The first acquisition unit is configured to acquire the first image by using the image acquisition component after the exposure duration is set.

Optionally, the first acquisition module includes: a second acquisition unit and an image acquisition unit;

the second acquisition unit, configured to acquire n frames of temporary images through the image acquisition component, where the temporary images are images whose exposure duration is a third duration, and the first duration is n times the third duration; n is an integer greater than or equal to 2;

The image obtaining unit is configured to perform image synthesis according to the n frames of temporary images to obtain the first image.

Optionally, the third duration is within an exposure duration region corresponding to the safety shutter of the image capturing component.

Optionally, the image obtaining unit is configured to superimpose and synthesize pixels with the same position in the n frames of temporary images to obtain the first image.

Optionally, the device further includes:

An image acquisition module, configured to acquire a shooting preview image before acquiring a shooting scene when the scene acquisition module receives an image acquisition instruction, and the shooting preview image is collected before the image acquisition component receives the shooting instruction image;

A scene determination module, configured to determine the shooting scene according to the shooting preview image.

Optionally, the scene determination module is configured to process the shooting preview image through a scene classification model to obtain the shooting scene;

The scene classification model is a machine learning model pre-trained according to training samples, the training samples include at least one of positive samples and negative samples, and the positive samples are images marked as the specified scene, so The negative samples are images marked as not the specified scene.

Optionally, the shooting preview images include m frames of preview images; m is an integer greater than or equal to 2;

The processing of the shooting preview image by the scene classification model to obtain the shooting scene includes:

The m frames of preview images are respectively processed by the scene classification model to obtain the probability that each of the m frames of preview images belong to the specified scene;

The shooting scene is acquired according to the probability that each of the m frames of preview images belongs to the specified scene.

Optionally, the shooting scene is a scene determined according to a selection operation performed on the scene selection control in the shooting preview interface before the image acquisition instruction is received.

According to another aspect of the embodiments of the present disclosure, there is provided an image capture control apparatus, the apparatus is used in computer equipment, the computer equipment includes an image capture component, and the apparatus includes:

processor;

memory for storing executable instructions for the processor;

wherein the processor is configured to:

When receiving the image acquisition instruction, acquire the shooting scene;

When the shooting scene is a specified scene, a first image is collected by the image acquisition component, and the first image is an image whose exposure duration is the first duration; the specified scene is displayed in a progressive scan manner. The interface to shoot the scene;

When the shooting scene is not the designated scene, collecting a second image by the image acquisition component, where the second image is an image with an exposure duration of a second duration;

Wherein, the first duration is greater than the second duration.

According to another aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, the computer-readable storage medium contains executable instructions, and the executable instructions are invoked by a processor to implement the above-mentioned first aspect and The image acquisition control method described in any optional implementation manner of the first aspect.

The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects:

When an image capture instruction is received, a shooting scene is acquired; when the shooting scene is a specified scene, a first image is collected by an image acquisition component, and the first image is an image whose exposure duration is the first duration; When the shooting scene is not a specified scene, a second image is collected by the image acquisition component, and the second image is an image with an exposure duration of the second duration; wherein the first duration is greater than the second duration. In the present disclosure, a shooting scene is acquired by a computer device, and when the acquired shooting scene is a scene of shooting an interface displayed in a progressive scan manner, an image with an exposure duration of a first duration is acquired by an image acquisition component, so that the captured first The exposure time of one image is longer, and when the computer device displays the first image, it is not easy to superimpose the specified scene to produce moiré, which reduces the imaging defects when shooting the interface displayed in the progressive scan mode, and improves the image captured in the specified scene. display effect.

It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present disclosure.

Description of drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description serve to explain the principles of the disclosure.

FIG. 1 is a schematic diagram of an application scenario of capturing an image provided by an exemplary embodiment of the present disclosure;

FIG. 2 is a method flowchart of an image capture control method provided by an exemplary embodiment of the present disclosure;

FIG. 3 is a method flowchart of an exemplary embodiment of the present disclosure relating to an image capture control method of FIG. 2;

FIG. 4 is a method flow chart of another image acquisition control method of FIG. 2 related to an exemplary embodiment of the present disclosure;

FIG. 5 is a method flowchart of an exemplary embodiment of the present disclosure relating to an image capture control method of FIG. 4;

FIG. 6 is a method flow chart of another image acquisition control method of FIG. 2 related to an exemplary embodiment of the present disclosure;

FIG. 7 is a method flowchart of an exemplary embodiment of the present disclosure relating to an image capture control method of FIG. 6;

FIG. 8 is a method flowchart of an exemplary embodiment of the present disclosure relating to an image capture control method of FIG. 7;

FIG. 9 is a method flowchart of an image capture control method provided by an exemplary embodiment of the present disclosure;

FIG. 10 is a block diagram of an image capture control apparatus provided by an exemplary embodiment of the present disclosure;

Fig. 11 is a block diagram of an apparatus for computer equipment according to an exemplary embodiment.

Detailed ways

Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. Where the following description refers to the drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the illustrative examples below are not intended to represent all implementations consistent with this disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as recited in the appended claims.

The application scenarios of the captured images described in the embodiments of the present disclosure are for the purpose of illustrating the technical solutions of the embodiments of the present disclosure more clearly, and do not constitute a limitation on the technical solutions provided by the embodiments of the present disclosure. With the appearance of computer equipment, the technical solutions provided by the embodiments of the present disclosure are also applicable to similar technical problems.

For ease of understanding, the following briefly introduces some terms and application scenarios involved in the embodiments of the present application.

Progressive Scanning: Progressive scanning (also known as non-interlaced scanning) is a method of encoding a bitmap image to "draw" a video image or picture on an electronic display by scanning or displaying each row or row of pixels One of the common methods for images.

Moire phenomenon: Also known as Moire phenomenon, it is a visual phenomenon.

Safety shutter: Usually at 1/30s or 1/60s, the moment the camera "clicks", the camera performs the exposure process.

Please refer to FIG. 1 , which shows a schematic diagram of an application scenario of capturing an image provided by an exemplary embodiment of the present disclosure. As shown in Figure 1, several computer devices 110 are included.

Among them, the computer device 110 is an electronic device with an image capturing component. For example, the computer device 110 may include, but is not limited to, a mobile phone, a camera, a tablet computer, an e-book reader, a smart robot, a smart camera, an MP4 (Moving Picture Experts Group Audio Layer IV) player, a laptop laptops and desktop computers, etc.

Optionally, the user may use the image capturing component in the computer device 110 to perform image capture (also referred to as shooting), and display the captured image on the display screen of the computer device 110 . Wherein, when the user collects images, he may collect images in daily life, and may also collect images displayed in other display devices.

In a possible implementation manner, when the images displayed in other display devices are displayed by the above-mentioned progressive scanning method, when the user uses the computer device 110 to capture the images displayed in these display devices, the images captured by the computer device 110 The moiré phenomenon may occur in the image, resulting in poor display effect of the collected image and other problems. For example, when the user needs the mobile phone to shoot the image displayed on the projector, when the image displayed on the projector is displayed by progressive scanning, if the user uses the mobile phone to shoot the image displayed on the projector, it may cause the mobile phone to display the image displayed on the projector. The moiré phenomenon appears when the captured image is displayed on the screen, and there is an image display defect.

In the technical solution provided by the present disclosure, when the above-mentioned user uses computer equipment to collect images in other display screens, by identifying the shooting scene, the exposure time when collecting images in a specified scene is changed, thereby improving the effect of computer equipment image collection. . Hereinafter, the technical solutions provided by the present disclosure will be introduced and described through several embodiments.

Please refer to FIG. 2 , which shows a method flowchart of an image capture control method provided by an exemplary embodiment of the present disclosure. The image acquisition control method can be applied to the shooting scene shown in FIG. 1 , and is executed by a computer device in the shooting scene. The method may include the following steps:

In step 201, a shooting scene is acquired when an image acquisition instruction is received.

In step 202, when the shooting scene is a designated scene, a first image is collected by the image acquisition component, and the first image is an image with an exposure duration of the first duration; shooting scene.

In step 203, when the shooting scene is not the designated scene, a second image is collected by the image collecting component, and the second image is an image with an exposure duration of the second duration.

Wherein, the first duration is longer than the second duration.

Optionally, the above-mentioned shooting scene is a scene determined according to a selection operation performed on the scene selection control in the shooting preview interface before the image acquisition instruction is received.

To sum up, in the present disclosure, a shooting scene is acquired by a computer device, and when the acquired shooting scene is a scene of shooting an interface displayed in a progressive scan manner, an image with an exposure duration of a first duration is acquired by an image acquisition component , so that the exposure time of the collected first image is longer, and when the computer equipment displays the first image, it is not easy to superimpose with the designated scene to generate moiré, which reduces the imaging defects when shooting the interface displayed in the progressive scan mode, and improves the performance of the designated scene. The display effect of the image captured in the scene.

Optionally, please refer to FIG. 3 , which shows a method flowchart of an exemplary embodiment of the present disclosure involving an image acquisition control method of FIG. 2 . The method shown in FIG. 3 can be regarded as a description of an implementation manner of the above-mentioned FIG. 2 , and the method may include the following steps:

In step 301, a shooting scene is acquired when an image acquisition instruction is received.

In step 302, when the shooting scene is the designated scene, the exposure duration of the image capturing component is set to the first duration.

In step 303, a first image is captured by the image capture component after the exposure duration is set; the first image is an image whose exposure duration is the first duration; the specified scene is a scene in which an interface displayed in a progressive scan manner is captured .

In step 304, when the shooting scene is not the designated scene, a second image is collected by the image collecting component, and the second image is an image with an exposure duration of the second duration.

Wherein, the first duration is longer than the second duration.

To sum up, the present disclosure acquires a shooting scene through a computer device, and when the acquired shooting scene is a scene for shooting an interface displayed in a progressive scan manner, the exposure duration of the image acquisition component is set to the first duration. , so that the exposure time of the collected first image is longer, and when the computer equipment displays the first image, it is not easy to superimpose with the designated scene to generate moiré, which reduces the imaging defects when shooting the interface displayed in the progressive scan mode, and improves the performance of the designated scene. The display effect of the image captured in the scene.

Optionally, please refer to FIG. 4 , which shows a method flowchart of another image acquisition control method of FIG. 2 related to an exemplary embodiment of the present disclosure. The method shown in FIG. 4 can be regarded as a description of another implementation manner of the above-mentioned FIG. 2 , and the method may include the following steps:

In step 401, a shooting scene is acquired when an image acquisition instruction is received.

In step 402, when the shooting scene is a designated scene, n frames of temporary images are collected by the image collection component, and the temporary images are images whose exposure duration is a third duration.

In step 403, image synthesis is performed according to the n-frame temporary images to obtain a first image; the first image is an image whose exposure duration is the first duration; the specified scene is a scene in which an interface displayed in a progressive scan manner is photographed ; The first duration is n times the third duration; n is an integer greater than or equal to 2.

In step 403, when the shooting scene is not the designated scene, a second image is collected by the image collecting component, and the second image is an image with an exposure duration of the second duration.

Wherein, the first duration is longer than the second duration.

Optionally, the above-mentioned third duration is within an exposure duration region corresponding to the safety shutter of the image acquisition component.

To sum up, the present disclosure acquires a shooting scene through a computer device, and when the acquired shooting scene is a scene for shooting an interface displayed in a progressive scan manner, n frames of temporary images are collected by an image acquisition component, The temporary image is synthesized to obtain the first image, so that the overall exposure time of the first image is longer. When the computer device displays the first image, it is not easy to superimpose the specified scene to produce moiré, which reduces the need to shoot the interface displayed in the progressive scan mode. It can improve the display effect of the image captured in the specified scene.

Optionally, please refer to FIG. 5 , which shows a method flowchart of an exemplary embodiment of the present disclosure involving an image acquisition control method of FIG. 4 . The method shown in FIG. 5 can be regarded as a description of an implementation manner of the above-mentioned FIG. 4 , and the method may include the following steps:

In step 501, a shooting scene is acquired when an image acquisition instruction is received.

In step 502, when the shooting scene is a designated scene, n frames of temporary images are collected by the image collection component, and the temporary images are images whose exposure duration is a third duration.

In step 503, superimposing and synthesizing pixels with the same position in the n-frame temporary images to obtain a first image; the first image is an image whose exposure duration is the first duration; the specified scene is displayed in a progressive scan manner. The scene where the interface is shooting; the first duration is n times the third duration; n is an integer greater than or equal to 2.

In step 504, when the shooting scene is not the designated scene, a second image is collected by the image collecting component, and the second image is an image with an exposure duration of the second duration.

Wherein, the first duration is longer than the second duration.

To sum up, the present disclosure acquires a shooting scene through a computer device, and when the acquired shooting scene is a scene for shooting an interface displayed in a progressive scan manner, n frames of temporary images are collected by an image acquisition component, and n frames of Pixels in the same position in the temporary image are superimposed and synthesized to obtain the first image, so that the overall exposure time of the first image is longer. The displayed interface performs imaging defects when shooting, and improves the display effect of the images shot in the specified scene.

Please refer to FIG. 6 , which shows a method flowchart of another image acquisition control method of FIG. 2 related to an exemplary embodiment of the present disclosure. The method shown in FIG. 6 can be regarded as a description of another implementation manner of the above-mentioned FIG. 2 , and the method may include the following steps:

In step 601, a shooting preview image is obtained, and the shooting preview image is an image collected before the image collecting component receives a shooting instruction.

In step 602, a shooting scene is determined according to the shooting preview image.

In step 603, a shooting scene is acquired when an image acquisition instruction is received.

In step 604, when the shooting scene is a specified scene, a first image is collected by the image acquisition component, and the first image is an image with an exposure duration of the first duration; shooting scene.

In step 605, when the shooting scene is not the designated scene, a second image is collected by the image collecting component, and the second image is an image with an exposure duration of the second duration.

Wherein, the first duration is longer than the second duration.

To sum up, the present disclosure obtains a shooting preview image through a computer device, determines a shooting scene according to the shooting preview image, and acquires a previously determined shooting scene when an image acquisition instruction is received, and when the acquired shooting scene is a line-by-line scanning method. When the displayed interface is used to capture the scene, the image with the exposure duration of the first duration is captured by the image capturing component, so that the exposure time of the captured first image is longer, and the computer device displays the first image and is not easily superimposed with the specified scene. Moiré pattern is generated, which reduces the imaging defects when shooting the interface displayed in the progressive scan mode, and improves the display effect of the image captured in the specified scene.

Please refer to FIG. 7 , which shows a method flowchart of an exemplary embodiment of the present disclosure relating to an image capture control method of FIG. 6 . The method shown in FIG. 7 can be regarded as a description of an implementation manner of the above-mentioned FIG. 6 , and the method may include the following steps:

In step 701, a shooting preview image is obtained, and the shooting preview image is an image collected before the image acquisition component receives the shooting instruction;

In step 702, the shooting preview image is processed by the scene classification model to obtain the shooting scene.

The scene classification model is a machine learning model pre-trained according to the training samples. The training samples include at least one of positive samples and negative samples. The positive samples are images marked as specified scenes, and the negative samples are marked as not specified scenes. image.

In step 703, when an image acquisition instruction is received, a shooting scene is acquired.

In step 704, when the shooting scene is a specified scene, a first image is collected by the image acquisition component, and the first image is an image with an exposure duration of the first duration; shooting scene.

In step 705, when the shooting scene is not the designated scene, a second image is collected by the image collecting component, and the second image is an image whose exposure duration is the second duration.

Wherein, the first duration is longer than the second duration.

To sum up, the present disclosure obtains a shooting preview image through a computer device, processes the shooting preview image through a scene classification model, obtains a shooting scene, and obtains a previously determined shooting scene when an image acquisition instruction is received. When shooting a scene on an interface displayed in a progressive scan manner, an image with an exposure duration of the first duration is captured by the image capturing component, so that the exposure time of the captured first image is longer, and when the computer device displays the first image It is not easy to superimpose with the specified scene to produce moiré, which reduces the imaging defects when shooting the interface displayed in the progressive scan mode, and improves the display effect of the image captured in the specified scene.

Optionally, the captured preview images include m frames of preview images; m is an integer greater than or equal to 2; please refer to FIG. 8 , which shows an exemplary embodiment of the present disclosure involving an image capture control method of FIG. 7 . flow chart. The method shown in FIG. 8 can be regarded as a description of an implementation manner of the above-mentioned FIG. 7 , and the method may include the following steps:

In step 801, a shooting preview image is obtained, and the shooting preview image is an image collected before the image acquisition component receives the shooting instruction;

In step 802, the m frames of preview images are respectively processed by the scene classification model to obtain the probability that each of the m frames of preview images belongs to a specified scene.

In step 803, a shooting scene is obtained according to the probability that each of the m frames of preview images belongs to a specified scene.

The scene classification model is a machine learning model pre-trained according to the training samples. The training samples include at least one of positive samples and negative samples. The positive samples are images marked as specified scenes, and the negative samples are marked as not specified scenes. image.

In step 804, a shooting scene is acquired when an image acquisition instruction is received.

In step 805, when the shooting scene is a designated scene, a first image is collected by the image acquisition component, and the first image is an image whose exposure duration is the first duration; shooting scene.

In step 806, when the shooting scene is not the designated scene, a second image is collected by the image collecting component, and the second image is an image with an exposure duration of the second duration.

Wherein, the first duration is longer than the second duration.

It should be noted that, the respective embodiments shown in FIG. 2 to FIG. 8 can also be flexibly matched under the condition that each step can be implemented in combination, which is not limited in the present disclosure.

To sum up, the present disclosure obtains shooting preview images through a computer device, processes m frames of preview images through a scene classification model, and obtains the probability that each of the m frames of preview images belongs to a specified scene. Probability, obtain the shooting scene, when receiving the image acquisition instruction, obtain the previously determined shooting scene, when the obtained shooting scene is the scene of shooting the interface displayed in the way of progressive scanning, collect the exposure duration through the image acquisition component It is an image of the first duration, so that the exposure time of the first image collected is longer, and when the computer device displays the first image, it is not easy to superimpose with the specified scene to generate moiré, which reduces the time when shooting the interface displayed in the progressive scan mode. Imaging defects, improve the display effect of images captured in the specified scene.

Please refer to FIG. 9 , which shows a method flowchart of an image capture control method provided by an exemplary embodiment of the present disclosure. The image acquisition control method can be applied to the shooting scene shown in FIG. 1 , and is executed by a computer device in the shooting scene. The method may include the following steps:

In step 901, a shooting preview image is acquired.

The shooting preview image is an image collected before the image collecting component receives the shooting instruction.

Optionally, the shooting preview image may be an image displayed on the display screen of the computer device before receiving the shooting instruction, and the shooting instruction may be an instruction generated when the user triggers the control of the image acquisition component to shoot. For example, when the computer device is a mobile phone, the image acquisition component may be a camera module in the mobile phone, and the shooting instruction may be an instruction generated by the mobile phone when the user clicks a camera button (either a physical button or a virtual button) in the mobile phone. Before taking a photo, the user can open the camera program, and the mobile phone can collect and display the image of the surrounding environment through the camera module and display it on the display screen. At this time, the image displayed on the display screen of the mobile phone can be a preview image.

In a possible implementation manner, when the image acquisition component of the computer device is in an on state, the computer device may periodically acquire the shooting preview image before receiving the shooting instruction, or, when the computer device may also acquire the shooting preview in real time image, which is not limited in this embodiment of the present disclosure.

In step 902, a shooting scene is determined according to the shooting preview image.

Optionally, the computer device may determine, according to the obtained preview image, the shooting scene when the image is collected this time. In a possible implementation manner, the computer device may process the shooting preview image through the scene classification model to obtain the shooting scene. The scene classification model is a machine learning model pre-trained according to the training samples. The training samples include at least one of positive samples and negative samples. The positive samples are images marked as specified scenes, and the negative samples are marked as not specified scenes. image. The specified scene is a scene in which an interface displayed in a progressive scan manner is photographed.

Optionally, the specified scene may be a scene of photographing an image displayed by a projector, or the specified scene may also be a scene of photographing an image displayed on the terminal screen interface in a progressive scan manner.

In a possible implementation manner, the above scene classification model may be preset in the computer device, and when the computer device acquires the shooting preview image, the scene classification model may be invoked to determine the shooting scene. For example, developers or operation and maintenance personnel can perform training according to the training samples in advance, generate the scene classification model, and set the scene classification model in the computer device. When the above-mentioned specified scene is a scene of shooting the image displayed by the projector, the training sample includes the image under the specified scene and the image under the non-specified scene collected by the computer equipment. For example, 1000 images under the specified scene are used. Use 1000 images in non-specified scenes, and label these training samples to obtain labeled positive samples and negative samples, and use the obtained training samples to train the scene classification model, so that the scene classification model can obtain the classification model according to the input image. The probability of the shooting scene corresponding to the image. Optionally, the machine learning model can be any one of the MobileNet network model, the YOLO network model, and the SSD network model.

In a possible implementation manner, the captured preview images may include m frames of preview images; m is an integer greater than or equal to 2; the m frames of preview images are processed respectively by a scene classification model, and the m frames of preview images are obtained to each belong to a specified scene The probability of ; obtain the shooting scene according to the probability that each of the m frames of preview images belong to the specified scene.

That is, when acquiring a preview image, the computer device can acquire multiple preview images, and process each shot preview image according to the above scene classification model to obtain the probability that each shot preview image belongs to a specified scene. The probability that the images each belong to the specified scene is obtained from the shooting scene. For example, when the computer device obtains the preview image, it can obtain 10 frames of preview images. The computer device can input each frame of the preview image into the scene classification model, and obtain the probability that each frame of the preview image belongs to the specified scene, according to the preview of each frame. The probability that the images each belong to the specified scene is obtained from the shooting scene. In a possible implementation manner, when the number of preview images in each frame of preview images with a probability of belonging to a specified scene greater than 50% is greater than the number of preview images in each frame of preview images with a probability of belonging to a specified scene less than 50% , the shooting scene obtained by the computer device is a designated scene, otherwise, the shooting scene obtained by the computer device is a non-designated scene.

The above steps 901 to 902 involve that the computer equipment obtains the shooting scene according to the scene classification model. In a possible implementation manner, the shooting scene may also be actively provided by the computer equipment. For example, the shooting scene is obtained after receiving an image acquisition instruction Previously, the computer device can determine the scene according to the selection operation performed on the scene selection control in the shooting preview interface. In the shooting preview interface of the computer device, the user can select a scene, and after the user performs a selection operation on the scene selection control in the interface, the computer device can also obtain the shooting scene. This embodiment of the present application does not limit this.

In step 903, a shooting scene is acquired when an image acquisition instruction is received.

When the computer device receives the image acquisition instruction, it can acquire the shooting scene obtained according to the above steps. For example, when the shooting scene obtained by the computer device according to the above steps is a designated scene, when receiving an image capture instruction, the designated scene can be obtained. During the image capture instruction, the captured scene is a non-specified scene. In a possible implementation manner, when the computer device periodically acquires multiple shooting scenes before receiving the image acquisition instruction, at this time, the computer device can also acquire the most recently acquired shooting scene, and then execute the subsequent steps .

When the shooting scene is the designated scene, step 304 is executed, and when the shooting scene is not the designated scene, step 305 is executed.

In step 904, when the shooting scene is a designated scene, a first image is collected by an image collecting component, and the first image is an image with an exposure duration of the first duration.

In a possible implementation manner, when the shooting scene is a designated scene, the computer device may set the exposure duration of the image capture component to the first duration; the first image is captured by the image capture component after the exposure duration is set. Wherein, the first duration is longer than the exposure duration of the image capturing component when the computer device performs image capturing when the shooting scene is not a specified scene. That is, for example, for a certain computer device, when the shooting scene is not a specified scene, the exposure duration of the image capturing component is x seconds when capturing images, so the first duration needs to be longer than x seconds.

Optionally, the computer device may increase the exposure duration of single-frame shooting by reducing the sensitivity of the image capture component. Alternatively, when the computer device is a digital camera, it is also possible to increase the exposure time for single-frame shooting by adjusting the aperture size of the digital camera. The present disclosure does not limit the manner in which the exposure duration is increased.

In a possible implementation manner, the computer device may also acquire n frames of temporary images through the image acquisition component. The temporary image is an image with an exposure duration of a third duration, and the first duration is n times the third duration; n is an integer greater than or equal to 2; image synthesis is performed according to n frames of temporary images to obtain the first image. Optionally, the third duration is within an exposure duration region corresponding to the safety shutter of the image acquisition component.

That is, under the premise of a single-frame safety shutter, the computer equipment can shoot multiple frames to obtain multiple frames of temporary images. For example, when the computer equipment captures an image this time, it originally shoots in a single-frame manner to obtain a single-frame image. However, since the shooting scene obtained this time is a designated scene, when the computer device is shooting an image, it can change a single frame to multiple frames, and synthesize the images captured by the multiple frames to obtain the final first image.

In a possible implementation manner, the computer device may superimpose and synthesize pixels with the same position in the n-frame temporary images to obtain the first image. That is, the pixel values corresponding to the pixel points with the same pixel position in each frame of the temporary image are summed to obtain a superimposed pixel image. Optionally, in order to prevent the pixel value corresponding to a certain pixel in the obtained pixel image from exceeding the requirements for the pixel value in the image (for example, the range of 0 to 255), during the superposition process, you can The pixel value is limited so that the maximum pixel value of each pixel cannot exceed 255.

In a possible implementation manner, the computer device may also average the pixels in the same position in the n-frame temporary images to obtain the first image. That is, the pixel values corresponding to the pixel points with the same pixel position in each frame of the temporary image are summed and divided by n to obtain a superimposed pixel image.

In step 905, when the shooting scene is not the designated scene, a second image is collected by the image collecting component, and the second image is an image whose exposure duration is the second duration.

That is, when the shooting scene is not the specified scene, the computer device may directly use the default exposure duration to capture the image to obtain the second image. The default exposure duration is shorter than the above-mentioned first duration.

To sum up, when an image acquisition instruction is received, a shooting scene is acquired; when the shooting scene is a specified scene, a first image is acquired through the image acquisition component, and the first image is an image with an exposure duration of the first duration; A scene that is photographed on an interface displayed in a progressive scanning manner; when the photographing scene is not a specified scene, a second image is collected by the image acquisition component, and the second image is an image with an exposure duration of the second duration; wherein, the first duration greater than the second duration. In the present disclosure, a shooting scene is acquired by a computer device, and when the acquired shooting scene is a scene of shooting an interface displayed in a progressive scan manner, an image with an exposure duration of a first duration is acquired by an image acquisition component, so that the captured first The exposure time of one image is longer, and when the computer device displays the first image, it is not easy to superimpose the specified scene to produce moiré, which reduces the imaging defects when shooting the interface displayed in the progressive scan mode, and improves the image captured in the specified scene. display effect.

The following are the apparatus embodiments of the present disclosure, which can be used to execute the method embodiments of the present disclosure. For details not disclosed in the apparatus embodiments of the present disclosure, please refer to the method embodiments of the present disclosure.

Please refer to FIG. 10 , which shows a block diagram of an image capture control apparatus provided by an exemplary embodiment of the present disclosure. The apparatus has the function of implementing the method example of the above-mentioned computer device, and the function may be implemented by hardware or by executing corresponding software in hardware. The apparatus may be the computer equipment described above, or may be provided in the computer equipment. The apparatus may include: a scene acquisition module 1010 , a first acquisition module 1020 and a second acquisition module 1030 .

The scene acquisition module 1010 is configured to acquire a shooting scene when receiving an image acquisition instruction;

The first acquisition module 1020 is configured to acquire a first image through the image acquisition component when the shooting scene is a specified scene, and the first image is an image with an exposure duration of a first duration; the specified scene It is a scene of shooting an interface displayed in a progressive scan manner;

The second acquisition module 1030 is configured to acquire a second image through the image acquisition component when the shooting scene is not the designated scene, where the second image is an image with an exposure duration of a second duration;

Wherein, the first duration is greater than the second duration.

Optionally, the first collection module 1020 includes: a duration setting unit and a first collection unit;

the duration setting unit, configured to set the exposure duration of the image acquisition component to the first duration;

The first acquisition unit is configured to acquire the first image by using the image acquisition component after the exposure duration is set.

Optionally, the first acquisition module 1020 includes: a second acquisition unit and an image acquisition unit;

the second acquisition unit, configured to acquire n frames of temporary images through the image acquisition component, where the temporary images are images whose exposure duration is a third duration, and the first duration is n times the third duration; n is an integer greater than or equal to 2;

The image obtaining unit is configured to perform image synthesis according to the n frames of temporary images to obtain the first image.

Optionally, the third duration is within an exposure duration region corresponding to the safety shutter of the image capturing component.

Optionally, the image obtaining unit is configured to superimpose and synthesize pixels with the same position in the n frames of temporary images to obtain the first image.

Optionally, the device further includes:

An image acquisition module, configured to acquire a shooting preview image before acquiring a shooting scene when the scene acquisition module receives an image acquisition instruction, and the shooting preview image is collected before the image acquisition component receives the shooting instruction image;

A scene determination module, configured to determine the shooting scene according to the shooting preview image.

Optionally, the scene determination module is configured to process the shooting preview image through a scene classification model to obtain the shooting scene;

The scene classification model is a machine learning model pre-trained according to training samples, the training samples include at least one of positive samples and negative samples, and the positive samples are images marked as the specified scene, so The negative samples are images marked as not the specified scene.

Optionally, the shooting preview images include m frames of preview images; m is an integer greater than or equal to 2;

The processing of the shooting preview image by the scene classification model to obtain the shooting scene includes:

The m frames of preview images are respectively processed by the scene classification model to obtain the probability that each of the m frames of preview images belong to the specified scene;

The shooting scene is acquired according to the probability that each of the m frames of preview images belongs to the specified scene.

Optionally, the shooting scene is a scene determined according to a selection operation performed on the scene selection control in the shooting preview interface before the image acquisition instruction is received.

To sum up, when an image acquisition instruction is received, a shooting scene is acquired; when the shooting scene is a specified scene, a first image is acquired through the image acquisition component, and the first image is an image with an exposure duration of the first duration; A scene that is photographed on an interface displayed in a progressive scanning manner; when the photographing scene is not a specified scene, a second image is collected by the image acquisition component, and the second image is an image with an exposure duration of the second duration; wherein, the first duration greater than the second duration. In the present disclosure, a shooting scene is acquired by a computer device, and when the acquired shooting scene is a scene of shooting an interface displayed in a progressive scan manner, an image with an exposure duration of a first duration is acquired by an image acquisition component, so that the captured first The exposure time of one image is longer, and when the computer device displays the first image, it is not easy to superimpose the specified scene to produce moiré, which reduces the imaging defects when shooting the interface displayed in the progressive scan mode, and improves the image captured in the specified scene. display effect.

It should be noted that, when the device provided in the above embodiment realizes its functions, only the division of the above functional modules is used as an example for illustration. In practical applications, the above functions can be allocated to different functional modules according to actual needs. That is, the content structure of the device is divided into different functional modules to complete all or part of the functions described above.

Regarding the apparatus in the above-mentioned embodiment, the specific manner in which each module performs operations has been described in detail in the embodiment of the method, and will not be described in detail here.

An exemplary embodiment of the present disclosure further provides an image capture control device, which can implement the image capture control method provided by the present disclosure. The apparatus may be the computer equipment described above, or may be provided in the computer equipment. The apparatus includes a processor, and a memory for storing executable instructions for the processor. wherein the processor is configured to:

When receiving the image acquisition instruction, acquire the shooting scene;

When the shooting scene is a specified scene, a first image is collected by the image acquisition component, and the first image is an image whose exposure duration is the first duration; the specified scene is displayed in a progressive scan manner. The interface to shoot the scene;

When the shooting scene is not the designated scene, collecting a second image by the image acquisition component, where the second image is an image with an exposure duration of a second duration;

Wherein, the first duration is greater than the second duration.

Optionally, when the shooting scene is a designated scene, the first image is collected by the image collection component, and the processor is configured to:

setting the exposure duration of the image acquisition component to the first duration;

The first image is acquired by the image acquisition component after the exposure duration is set.

Optionally, when the shooting scene is a designated scene, the first image is collected by the image collection component, and the processor is configured to:

Collecting n frames of temporary images by the image acquisition component, the temporary images are images with an exposure duration of a third duration, and the first duration is n times the third duration; n is an integer greater than or equal to 2;

Perform image synthesis according to the n frames of temporary images to obtain the first image.

Optionally, the processor is configured such that: the third duration is within an exposure duration region corresponding to the safety shutter of the image capturing component.

Optionally, for performing image synthesis according to the n frames of temporary images to obtain the first image, the processor is configured to:

The first image is obtained by superimposing and synthesizing pixels with the same position in the n-frame temporary images.

Optionally, the processor is further configured to: when the image acquisition instruction is received, before acquiring the shooting scene, acquire a shooting preview image, the shooting preview image is when the image acquisition component receives the shooting instruction previously acquired images;

The shooting scene is determined according to the shooting preview image.

Optionally, in determining the shooting scene according to the shooting preview image, the processor is configured to: process the shooting preview image through a scene classification model to obtain the shooting scene;

The scene classification model is a machine learning model pre-trained according to training samples, the training samples include at least one of positive samples and negative samples, and the positive samples are images marked as the specified scene, so The negative samples are images marked as not the specified scene.

Optionally, the processor is configured to: the shot preview image includes m frames of preview images; m is an integer greater than or equal to 2;

The processing of the shooting preview image by the scene classification model to obtain the shooting scene includes:

The m frames of preview images are respectively processed by the scene classification model to obtain the probability that each of the m frames of preview images belong to the specified scene;

The shooting scene is acquired according to the probability that each of the m frames of preview images belongs to the specified scene.

Optionally, the processor is configured to: the shooting scene is a scene determined according to a selection operation performed on a scene selection control in the shooting preview interface before receiving the image capture instruction.

The foregoing describes the solutions provided by the embodiments of the present disclosure mainly from the perspective of computer device execution. It can be understood that, in order to realize the above-mentioned functions, the computer device includes corresponding hardware structures and/or software modules for executing each function. In conjunction with the units and algorithm steps of each example described in the embodiments disclosed in the present disclosure, the embodiments of the present disclosure can be implemented in hardware or a combination of hardware and computer software. Whether a function is performed by hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Those skilled in the art may use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of the technical solutions of the embodiments of the present disclosure.

Fig. 11 is a block diagram of an apparatus for computer equipment according to an exemplary embodiment. For example, the apparatus 1100 may be provided as the computer equipment involved in the above embodiments. 11, apparatus 1100 includes a processing component 1122, which further includes one or more processors, and a memory resource, represented by memory 1132, for storing instructions executable by processing component 1122, such as application programs. An application program stored in memory 1132 may include one or more modules, each corresponding to a set of instructions. In addition, the processing component 1122 is configured to execute instructions to execute all or part of the steps performed by the computer device in the above-described method for image capture control.

Device 1100 may also include a power supply assembly 1126 configured to perform power management of device 1100, a wired or wireless network interface 1150 configured to connect device 1100 to a network, and an Input/Output (I/O) interface 1138. Device 1100 may operate based on an operating system stored in memory 1132, such as Windows Server™, Mac OS X™, Unix™, Linux™, FreeBSD™ or the like.

Embodiments of the present disclosure also provide a non-transitory computer-readable storage medium on which a computer program is stored, and when the computer program is executed by a processor of a computer device, the image acquisition control method as described above is implemented.

It should be understood that references herein to "a plurality" means two or more. "And/or", which describes the association relationship of the associated objects, means that there can be three kinds of relationships, for example, A and/or B, which can mean that A exists alone, A and B exist at the same time, and B exists alone. The character "/" generally indicates that the associated objects are an "or" relationship.

Other embodiments of the present disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or techniques in the technical field not disclosed by the present disclosure . The specification and examples are to be regarded as exemplary only, with the true scope and spirit of the disclosure being indicated by the following claims.

It is to be understood that the present disclosure is not limited to the precise structures described above and illustrated in the accompanying drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims (20)

1. An image acquisition control method, wherein the method is executed by a computer device having an image acquisition component incorporated therein, the method comprising:

when an image acquisition instruction is received, acquiring a shooting scene;

when the shooting scene is a designated scene, acquiring a first image through the image acquisition assembly, wherein the first image is an image with exposure duration of first duration; the appointed scene is a scene for shooting an interface displayed in a progressive scanning mode;

when the shooting scene is not the appointed scene, acquiring a second image through the image acquisition assembly, wherein the second image is an image with the exposure duration being a second duration;

wherein the first duration is greater than the second duration.

2. The method of claim 1, wherein capturing, by the image capture component, a first image when the capture scene is a designated scene comprises:

setting the exposure time of the image acquisition assembly to be the first time;

and acquiring the first image through the image acquisition assembly after the exposure time length is set.

3. The method of claim 1, wherein capturing, by the image capture component, a first image when the capture scene is a designated scene comprises:

acquiring n frames of temporary images through the image acquisition assembly, wherein the temporary images are images with exposure duration being third duration, and the first duration is n times of the third duration; n is an integer greater than or equal to 2;

and carrying out image synthesis according to the n frames of temporary images to obtain the first image.

4. The method of claim 3, wherein the third duration is within a corresponding exposure duration area of a safety shutter of the image capture assembly.

5. The method according to claim 3, wherein the image synthesis from the n frames of temporary images to obtain the first image comprises:

and superposing and synthesizing the pixels with the same position in the n frames of temporary images to obtain the first image.

6. The method according to any one of claims 1 to 5, wherein, before acquiring the shooting scene when the image acquisition instruction is received, the method further comprises:

acquiring a shooting preview image, wherein the shooting preview image is an image acquired by the image acquisition component before the shooting instruction is received;

and determining the shooting scene according to the shooting preview image.

7. The method of claim 6, wherein the determining the photographic scene from the photographic preview image comprises:

processing the shooting preview image through a scene classification model to obtain the shooting scene;

the scene classification model is a machine learning model obtained by pre-training according to training samples, the training samples comprise at least one of positive samples and negative samples, the positive samples are images marked as the specified scene, and the negative samples are images marked as not being the specified scene.

8. The method of claim 7, wherein the captured preview image comprises an m-frame preview image; m is an integer greater than or equal to 2;

the processing the shooting preview image through the scene classification model to obtain the shooting scene comprises the following steps:

respectively processing the m frames of preview images through the scene classification model to obtain the probability that the m frames of preview images respectively belong to the specified scene;

and obtaining the shooting scene according to the probability that the m frames of preview images respectively belong to the appointed scene.

9. The method according to any one of claims 1 to 5,

and the shooting scene is determined according to the selection operation executed on the scene selection control in the shooting preview interface before the image acquisition instruction is received.

10. An image acquisition control device, wherein the device is used in a computer device, the computer device comprises an image acquisition component, the device comprises:

the scene acquisition module is used for acquiring a shooting scene when receiving an image acquisition instruction;

the first acquisition module is used for acquiring a first image through the image acquisition assembly when the shooting scene is a specified scene, wherein the first image is an image with exposure duration being first duration; the appointed scene is a scene for shooting an interface displayed in a progressive scanning mode;

the second acquisition module is used for acquiring a second image through the image acquisition assembly when the shooting scene is not the specified scene, wherein the second image is an image with the exposure duration being a second duration;

wherein the first duration is greater than the second duration.

11. The apparatus of claim 10, wherein the first acquisition module comprises: the time length setting unit and the first acquisition unit;

the time length setting unit is used for setting the exposure time length of the image acquisition assembly as the first time length;

the first acquisition unit is used for acquiring the first image through the image acquisition assembly after the exposure time length is set.

12. The apparatus of claim 10, wherein the first acquisition module comprises: a second acquisition unit and an image acquisition unit;

the second acquisition unit is used for acquiring n frames of temporary images through the image acquisition assembly, the temporary images are images with exposure duration being third duration, and the first duration is n times of the third duration; n is an integer greater than or equal to 2;

and the image obtaining unit is used for carrying out image synthesis according to the n frames of temporary images to obtain the first image.

13. The apparatus of claim 12, wherein the third duration is within a corresponding exposure duration area of a safety shutter of the image capture assembly.

14. The apparatus according to claim 12, wherein the image obtaining unit is configured to perform superposition synthesis on pixels with the same position in the n frames of temporary images to obtain the first image.

15. The apparatus of any one of claims 10 to 14, further comprising:

the image acquisition module is used for acquiring a shooting preview image before a shooting scene is acquired when the scene acquisition module receives an image acquisition instruction, wherein the shooting preview image is an image acquired by the image acquisition assembly before the shooting instruction is received;

and the scene determining module is used for determining the shooting scene according to the shooting preview image.

16. The apparatus of claim 15, wherein the scene determining module is configured to process the shooting preview image through a scene classification model to obtain the shooting scene;

the scene classification model is a machine learning model obtained by pre-training according to training samples, the training samples comprise at least one of positive samples and negative samples, the positive samples are images marked as the specified scene, and the negative samples are images marked as not being the specified scene.

17. The apparatus of claim 16, wherein the captured preview image comprises an m-frame preview image; m is an integer greater than or equal to 2;

the processing the shooting preview image through the scene classification model to obtain the shooting scene comprises the following steps:

respectively processing the m frames of preview images through the scene classification model to obtain the probability that the m frames of preview images respectively belong to the specified scene;

and acquiring the shooting scene according to the probability that the m frames of preview images respectively belong to the appointed scene.

18. The apparatus according to any one of claims 10 to 14,

and the shooting scene is determined according to the selection operation executed on the scene selection control in the shooting preview interface before the image acquisition instruction is received.

19. An image acquisition control device, wherein the device is used in a computer device, the computer device comprises an image acquisition component, the device comprises:

a processor;

a memory for storing executable instructions of the processor;

wherein the processor is configured to:

when an image acquisition instruction is received, acquiring a shooting scene;

when the shooting scene is a designated scene, acquiring a first image through the image acquisition assembly, wherein the first image is an image with exposure duration of first duration; the appointed scene is a scene for shooting an interface displayed in a progressive scanning mode;

when the shooting scene is not the appointed scene, acquiring a second image through the image acquisition assembly, wherein the second image is an image with the exposure duration being a second duration;

wherein the first duration is greater than the second duration.

20. A computer-readable storage medium containing executable instructions that are invoked by a processor to implement the image acquisition control method of any one of claims 1 to 9.

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