CN106385582A - Lossless rapid image transmission method - Google Patents
Lossless rapid image transmission method Download PDFInfo
- Publication number
- CN106385582A CN106385582A CN201610882686.0A CN201610882686A CN106385582A CN 106385582 A CN106385582 A CN 106385582A CN 201610882686 A CN201610882686 A CN 201610882686A CN 106385582 A CN106385582 A CN 106385582A
- Authority
- CN
- China
- Prior art keywords
- image
- natural
- lossless
- transmission method
- information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000005540 biological transmission Effects 0.000 title claims abstract description 42
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000001914 filtration Methods 0.000 claims description 3
- 239000011159 matrix material Substances 0.000 claims description 3
- 238000013139 quantization Methods 0.000 claims description 3
- 238000005070 sampling Methods 0.000 claims description 3
- 230000006835 compression Effects 0.000 abstract description 6
- 238000007906 compression Methods 0.000 abstract description 6
- 238000012216 screening Methods 0.000 abstract description 2
- 230000000694 effects Effects 0.000 description 5
- 238000012544 monitoring process Methods 0.000 description 5
- 238000005516 engineering process Methods 0.000 description 4
- 238000012423 maintenance Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 239000013307 optical fiber Substances 0.000 description 2
- 101150012579 ADSL gene Proteins 0.000 description 1
- 102100020775 Adenylosuccinate lyase Human genes 0.000 description 1
- 108700040193 Adenylosuccinate lyases Proteins 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 230000004927 fusion Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008054 signal transmission Effects 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
- H04N19/13—Adaptive entropy coding, e.g. adaptive variable length coding [AVLC] or context adaptive binary arithmetic coding [CABAC]
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
- H04N19/124—Quantisation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
- H04N19/186—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being a colour or a chrominance component
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/60—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding
- H04N19/625—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using transform coding using discrete cosine transform [DCT]
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Physics & Mathematics (AREA)
- Discrete Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Compression Or Coding Systems Of Tv Signals (AREA)
- Compression Of Band Width Or Redundancy In Fax (AREA)
Abstract
本发明公开了一种无损的快速图像传输方法，包括以下步骤：获取图像；提取所述图像信息；根据所述图像信息筛选出所述图像中的自然图像类型区域；对所述自然图像类型区域进行压缩；传输压缩后的图像信息。本发明先筛选图像中自然图像类型区域，再进一步压缩后传输，减少了图像的数据量，提高了传输速度，降低带宽占用，传递的图像信号质量更高，不会在传递过程是损坏图像或降低图像清晰度，图像传输速度快、效率高。The invention discloses a lossless fast image transmission method, comprising the following steps: acquiring an image; extracting the image information; screening out the natural image type area in the image according to the image information; and selecting the natural image type area Perform compression; transmit compressed image information. The invention first screens the natural image type area in the image, and then further compresses and transmits, which reduces the data amount of the image, improves the transmission speed, reduces the bandwidth occupation, and the quality of the transmitted image signal is higher, and the image will not be damaged or damaged during the transmission process. Reduce image clarity, image transmission speed is fast and efficient.
Description
技术领域technical field
本发明属于图像传输技术领域，具体地说，涉及一种无损的快速图像传输方法。The invention belongs to the technical field of image transmission, and in particular relates to a lossless fast image transmission method.
背景技术Background technique
图像传输一直是人们关注的热点应用技术之一，因其使用方便灵活而被广泛应用。图像网络传输系统关键技术在于图像的传输技术和采集压缩技术。Image transmission has always been one of the hot application technologies that people pay attention to, and it is widely used because of its convenience and flexibility. The key technology of image network transmission system lies in image transmission technology and acquisition compression technology.
现有的网络图像传输主要包括以下几种方法：视频基带传输，最为传统的电视监控传输方式，对0-6MHz视频基带信号不做任何处理，通过同轴电缆(非平衡)直接传输模拟信号。其优点是：短距离传输图像信号损失小，造价低廉，系统稳定。缺点：传输距离短，300以上高频分量衰减较大，无法保证图像质量；一路视频信号需要一根电缆，传输控制信号需另布电缆；其结构为星形结构，布线量大、维护困难、可拓展性差，适合小系统。光纤传输，常见的有模拟光端机和数字光端机，是解决几十甚至几百公里的电视监控传输的最佳方式，通过把视频及控制信号转换为激光信号在光纤中传输。其优点是传输距离远、衰减小、抗干扰性能好，适合远距离传输。其缺点是：对于几公里内监控信号传输不够经济，光熔接及维护需专业技术人员及设备操作处理，维护技术要求高，不易升级扩容。网络传输：是解决城域间距离遥远、点位极其分散的监控传输账户。其优点是：采用网络视频福区前作为监控信号上传设备，只要有Internet网络的地方，安装上远程监控软件就可监看和控制。其缺点是：受网络带宽和速度限制，目前ADSL只能传递小画面、低画质的图像，每秒只能传输几到几十帧图像，动画效果十分明显有延迟，无法做到时时监控。The existing network image transmission mainly includes the following methods: video baseband transmission, the most traditional TV monitoring transmission method, does not do any processing on the 0-6MHz video baseband signal, and directly transmits the analog signal through the coaxial cable (unbalanced). Its advantages are: short-distance transmission image signal loss is small, the cost is low, and the system is stable. Disadvantages: the transmission distance is short, the attenuation of high-frequency components above 300 is large, and the image quality cannot be guaranteed; one cable is required for one video signal, and another cable is required for transmission of control signals; its structure is a star structure, with a large amount of wiring and difficult maintenance. Poor scalability, suitable for small systems. Optical fiber transmission, common analog optical transceivers and digital optical transceivers, is the best way to solve tens or even hundreds of kilometers of TV monitoring transmission, by converting video and control signals into laser signals for transmission in optical fibers. Its advantages are long transmission distance, small attenuation, good anti-interference performance, and is suitable for long-distance transmission. Its disadvantages are: it is not economical for monitoring signal transmission within a few kilometers, optical fusion and maintenance require professional and technical personnel and equipment operation, high maintenance technical requirements, and difficult to upgrade and expand. Network transmission: it is to solve the monitoring transmission account with long distances between cities and extremely scattered points. Its advantages are: the network video front is used as the monitoring signal uploading device, as long as there is an Internet network, the remote monitoring software can be installed to monitor and control. Its disadvantages are: limited by network bandwidth and speed, currently ADSL can only transmit small-screen, low-quality images, and can only transmit a few to dozens of frames per second. The animation effect is obviously delayed, and it cannot be monitored constantly.
发明内容Contents of the invention
有鉴于此，为了解决有现有技术中没有较好的能够无损且快速图像传输方法，传输速度慢，质量差等问题，本发明提供了一种无损的快速图像传输方法。In view of this, in order to solve the problems that there is no better lossless and fast image transmission method in the prior art, the transmission speed is slow, and the quality is poor, the present invention provides a lossless and fast image transmission method.
本发明公开了一种无损的快速图像传输方法，包括以下步骤：The invention discloses a lossless fast image transmission method, comprising the following steps:
获取图像；get the image;
提取所述图像信息；extracting the image information;
根据所述图像信息筛选出所述图像中的自然图像类型区域；Filtering out natural image type regions in the image according to the image information;
对所述自然图像类型区域进行压缩；compressing the natural image type region;
传输压缩后的图像信息。Compressed image information is transmitted.
进一步的，所述获取图像的方法包括采用摄像头、照相机或扫描仪获取图像。Further, the method for acquiring an image includes acquiring an image by using a camera, a camera or a scanner.
进一步的，所述提取图像信息的具体步骤为：将所述图像划分为多个子区域，提取每个子区域的轮廓信息和灰度直方图信息。Further, the specific step of extracting image information is: dividing the image into multiple sub-regions, and extracting contour information and grayscale histogram information of each sub-region.
进一步的，所述轮廓信息包括轮廓平均面积和轮廓最大面积，所述灰度直方图信息包括直方图均值和直方图方差。Further, the profile information includes the average area of the profile and the maximum area of the profile, and the gray histogram information includes the histogram mean value and the histogram variance.
进一步的，所述根据图像信息筛选出所述图像中的自然图像类型区的方法具体包括：Further, the method for screening out the natural image type area in the image according to the image information specifically includes:
获取轮廓平均面积阈值，比较所述轮廓平均面积和所述轮廓平均面积阈值判断所述子区域是否为自然图像类型区域；Obtaining the contour average area threshold, comparing the contour average area and the contour average area threshold to determine whether the sub-region is a natural image type region;
获取轮廓最大面积阈值，比较所述轮廓最大面积和所述轮廓最大面积阈值判断所述子区域是否为自然图像类型区域；Obtaining the maximum contour area threshold, comparing the maximum contour area and the maximum contour area threshold to determine whether the sub-region is a natural image type region;
根据所述直方图均值判断所述子区域是否为自然类型区域；judging whether the sub-region is a natural type region according to the histogram mean value;
根据所述直方图方差判断所述子区域是否为自然类型区域。Judging whether the sub-region is a natural type region according to the histogram variance.
进一步的，所述对自然图像类型区域进行压缩的方法具体包括：Further, the method for compressing a natural image type region specifically includes:
对所述自然图像类型区域的像素色调值进行取样；sampling pixel tone values of said natural image type region;
对取样的数据进行正向离散余弦转换；Perform forward discrete cosine transform on the sampled data;
利用预设的量化表矩阵将正向离散余弦转换后得到的频率系数进行量化；Using the preset quantization table matrix to quantize the frequency coefficient obtained after the forward discrete cosine transform;
重新编排量化后的频率系数并对照相应的编码表进行熵编码；Rearrange the quantized frequency coefficients and perform entropy coding against the corresponding coding table;
将熵编码后得到的数据组成帧数据，得到编码压缩后的图像信息。The data obtained after the entropy coding is composed into frame data, and the coded and compressed image information is obtained.
进一步的，所述对自然图像类型区域的像素的红、绿、蓝三种色调值分别进行取样。Further, the three hue values of red, green and blue of the pixels in the natural image type area are respectively sampled.
优选的，对所述红、绿、蓝色调值进行2:2:2取样。Preferably, 2:2:2 sampling is performed on the red, green, and blue tone values.
进一步的，对取样的数据以n×n个像素为一个单元进行正向离散余弦转换。Further, forward discrete cosine transform is performed on the sampled data with n×n pixels as a unit.
优选的，对取样的数据以16×16个像素为一个单元进行正向离散余弦转换。Preferably, forward discrete cosine transform is performed on the sampled data with 16×16 pixels as a unit.
进一步的，所述传输压缩后的图像信息的方法具体包括通过有线或无线网络对压缩后的图像信号进行传输。Further, the method for transmitting the compressed image information specifically includes transmitting the compressed image signal through a wired or wireless network.
与现有技术相比，本发明可以获得包括以下技术效果：Compared with prior art, the present invention can obtain and comprise following technical effect:
1)本发明先筛选图像中自然图像类型区域，再进一步压缩后传输，减少了图像的数据量，提高了传输速度，降低带宽占用，传递的图像信号质量更高，不会在传递过程是损坏图像或降低图像清晰度，图像传输速度快、效率高。1) The present invention first screens the natural image type area in the image, and then further compresses and transmits, which reduces the amount of image data, improves the transmission speed, reduces the bandwidth occupation, and the quality of the transmitted image signal is higher, and will not be damaged during the transmission process Image or reduce image clarity, image transmission speed and high efficiency.
2)本发明中的图像压缩方法，保留了图像的细节信息，减少了压缩的等待时间，提高图像处理速度。2) The image compression method in the present invention retains the detailed information of the image, reduces the waiting time for compression, and improves the image processing speed.
当然，实施本发明的任一产品必不一定需要同时达到以上所述的所有技术效果。Of course, implementing any product of the present invention does not necessarily need to achieve all the technical effects described above at the same time.
具体实施方式detailed description
以下将配合实施例来详细说明本发明的实施方式，藉此对本发明如何应用技术手段来解决技术问题并达成技术功效的实现过程能充分理解并据以实施。The implementation of the present invention will be described in detail below with examples, so as to fully understand and implement the implementation process of how the present invention uses technical means to solve technical problems and achieve technical effects.
实施例Example
本发明公开了一种无损的快速图像传输方法，包括以下步骤：The invention discloses a lossless fast image transmission method, comprising the following steps:
采用摄像头、照相机或扫描仪获取图像。Capture images with a webcam, camera, or scanner.
将图像划分为多个子区域，提取每个子区域的轮廓信息和灰度直方图信息。轮廓信息包括轮廓平均面积和轮廓最大面积，灰度直方图信息包括直方图均值和直方图方差。The image is divided into multiple sub-regions, and the contour information and gray histogram information of each sub-region are extracted. The contour information includes the contour average area and the contour maximum area, and the gray histogram information includes the histogram mean value and the histogram variance.
获取轮廓平均面积阈值，比较轮廓平均面积和轮廓平均面积阈值；Obtain the contour average area threshold, compare the contour average area and the contour average area threshold;
获取轮廓最大面积阈值，比较轮廓最大面积和轮廓最大面积阈值；Obtain the maximum contour area threshold and compare the contour maximum area with the contour maximum area threshold;
根据上述两项的结果以及直方图均值、直方图方差，分别判断所述子区域是否为自然类型区。According to the results of the above two items and the histogram mean value and the histogram variance, it is judged whether the sub-area is a natural type area.
对自然图像类型区域的像素的红、绿、蓝三种色调值以2:2:2分别进行取样。The red, green, and blue hue values of the pixels in the natural image type area are respectively sampled at 2:2:2.
对取样的数据16×16个像素为一个单元进行正向离散余弦转换；Perform forward discrete cosine transform on the sampled data 16×16 pixels as a unit;
利用预设的量化表矩阵将正向离散余弦转换后得到的频率系数进行量化；Using the preset quantization table matrix to quantize the frequency coefficient obtained after the forward discrete cosine transform;
重新编排量化后的频率系数并对照相应的编码表进行熵编码；Rearrange the quantized frequency coefficients and perform entropy coding against the corresponding coding table;
将熵编码后得到的数据组成帧数据，得到编码压缩后的图像信息。The data obtained after the entropy coding is composed into frame data, and the coded and compressed image information is obtained.
通过有线或无线网络对压缩后的图像信号进行传输。The compressed image signal is transmitted through a wired or wireless network.
本发明先筛选图像中自然图像类型区域，再进一步压缩后传输，减少了图像的数据量，提高了传输速度，降低带宽占用，传递的图像信号质量更高，不会在传递过程是损坏图像或降低图像清晰度，图像传输速度快、效率高。本发明中的图像压缩方法，保留了图像的细节信息，减少了压缩的等待时间，提高图像处理速度。The invention first screens the natural image type area in the image, and then further compresses and transmits, which reduces the data amount of the image, improves the transmission speed, reduces the bandwidth occupation, and the quality of the transmitted image signal is higher, and the image will not be damaged or damaged during the transmission process. Reduce image clarity, image transmission speed is fast and efficient. The image compression method in the present invention retains the detailed information of the image, reduces the compression waiting time, and improves the image processing speed.
如在说明书及权利要求当中使用了某些词汇来指称特定成分或方法。本领域技术人员应可理解，不同地区可能会用不同名词来称呼同一个成分。本说明书及权利要求并不以名称的差异来作为区分成分的方式。如在通篇说明书及权利要求当中所提及的“包含”为一开放式用语，故应解释成“包含但不限定于”。“大致”是指在可接收的误差范围内，本领域技术人员能够在一定误差范围内解决所述技术问题，基本达到所述技术效果。说明书后续描述为实施本发明的较佳实施方式，然所述描述乃以说明本发明的一般原则为目的，并非用以限定本发明的范围。本发明的保护范围当视所附权利要求所界定者为准。For example, certain terms are used in the description and claims to refer to specific components or methods. Those skilled in the art should understand that different regions may use different terms to refer to the same component. The description and claims do not use the difference in name as a way to distinguish components. As mentioned throughout the specification and claims, "comprising" is an open term, so it should be interpreted as "including but not limited to". "Approximately" means that within an acceptable error range, those skilled in the art can solve the technical problem within a certain error range and basically achieve the technical effect. The following descriptions in the specification are preferred implementation modes for implementing the present invention, but the descriptions are for the purpose of illustrating the general principles of the present invention, and are not intended to limit the scope of the present invention. The scope of protection of the present invention should be defined by the appended claims.
还需要说明的是，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的商品或者系统不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种商品或者系统所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括所述要素的商品或者系统中还存在另外的相同要素。It should also be noted that the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a good or system comprising a set of elements includes not only those elements but also includes items not expressly listed. other elements of the product, or elements inherent in the commodity or system. Without further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the article or system comprising said element.
上述说明示出并描述了本发明的若干优选实施例，但如前所述，应当理解本发明并非局限于本文所披露的形式，不应看作是对其他实施例的排除，而可用于各种其他组合、修改和环境，并能够在本文所述发明构想范围内，通过上述教导或相关领域的技术或知识进行改动。而本领域人员所进行的改动和变化不脱离本发明的精神和范围，则都应在本发明所附权利要求的保护范围内。The above description shows and describes several preferred embodiments of the present invention, but as mentioned above, it should be understood that the present invention is not limited to the forms disclosed herein, and should not be regarded as excluding other embodiments, but can be used in various Various other combinations, modifications, and environments can be made within the scope of the inventive concept described herein, by the above teachings or by skill or knowledge in the relevant field. However, changes and changes made by those skilled in the art do not depart from the spirit and scope of the present invention, and should all be within the protection scope of the appended claims of the present invention.
Claims (8)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610882686.0A CN106385582A (en) | 2016-10-08 | 2016-10-08 | Lossless rapid image transmission method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610882686.0A CN106385582A (en) | 2016-10-08 | 2016-10-08 | Lossless rapid image transmission method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN106385582A true CN106385582A (en) | 2017-02-08 |
Family
ID=57937076
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610882686.0A Pending CN106385582A (en) | 2016-10-08 | 2016-10-08 | Lossless rapid image transmission method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106385582A (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060133675A1 (en) * | 2002-08-05 | 2006-06-22 | Shih-Zheng Kuo | Image processing method, system, and apparatus for facilitating data transmission |
| CN102164167A (en) * | 2011-02-21 | 2011-08-24 | 北京奇虎科技有限公司 | Classified transmission method and system for remote control |
| CN103327322A (en) * | 2013-04-26 | 2013-09-25 | 深信服网络科技（深圳）有限公司 | Method and device for image transmission |
-
2016
- 2016-10-08 CN CN201610882686.0A patent/CN106385582A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060133675A1 (en) * | 2002-08-05 | 2006-06-22 | Shih-Zheng Kuo | Image processing method, system, and apparatus for facilitating data transmission |
| CN102164167A (en) * | 2011-02-21 | 2011-08-24 | 北京奇虎科技有限公司 | Classified transmission method and system for remote control |
| CN103327322A (en) * | 2013-04-26 | 2013-09-25 | 深信服网络科技（深圳）有限公司 | Method and device for image transmission |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112738533B (en) | Machine inspection image regional compression method | |
| US9762985B2 (en) | Storing data in motion by optical and electrical conversion of signals | |
| CN103647954A (en) | Mobile video monitoring system based on 3G channel and intelligent terminal | |
| CN112415922B (en) | Substation monitoring system based on streaming media | |
| CN103369349A (en) | Digital video quality control method and device thereof | |
| CN107211145A (en) | The almost video recompression of virtually lossless | |
| US11494946B2 (en) | Data compression device and compression method configured to gradually adjust a quantization step size to obtain an optimal target quantization step size | |
| CN112565178B (en) | Unmanned aerial vehicle electrical equipment inspection system based on streaming media technology | |
| CN102957940B (en) | Improvement-based four-way operator video noise detection method | |
| CN106385582A (en) | Lossless rapid image transmission method | |
| DE102013021707A1 (en) | GRAPHIC SERVICE PROVIDER AND METHOD FOR MANAGING DATA POWER PARAMETERS | |
| CN101437157A (en) | Multipath CDMA video transmission system for monitoring railway field video | |
| CN117915039A (en) | Internet of things edge intelligent video gateway system and application method | |
| CN117499720A (en) | A method and system for improving image live broadcast quality | |
| CN116320465A (en) | A video compression and transmission method, device, gateway and storage medium | |
| CN105491320A (en) | Video conference bandwidth management method and system | |
| CN106254356B (en) | A method of using mobile high definition/super clear live streaming platform | |
| KR101681844B1 (en) | Method for conversion to high definition cctv system for metropolitan railway | |
| CN102984509A (en) | Four-band remote video monitoring system and data transmission method thereof | |
| CN113645442A (en) | Novel rear-end video compression processor equipment | |
| CN207443037U (en) | A kind of video monitoring system based on FPGA | |
| CN201345709Y (en) | Multi-channel video image structure based on narrower bandwidth transmission | |
| CN202374397U (en) | Video image compression system for coal mine tunnel | |
| CN111491166A (en) | Dynamic compression system and method based on content analysis | |
| Kufa et al. | Quality comparison of 360° 8K images compressed by conventional and deep learning algorithms |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170208 |