CN116884326A - Display light field radiation measurement method - Google Patents
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- G—PHYSICS
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- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
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- G09G3/006—Electronic inspection or testing of displays and display drivers, e.g. of LED or LCD displays
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- G—PHYSICS
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- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
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- G01J1/42—Photometry, e.g. photographic exposure meter using electric radiation detectors
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/02—Details
- G01J3/0205—Optical elements not provided otherwise, e.g. optical manifolds, diffusers, windows
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
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- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/46—Measurement of colour; Colour measuring devices, e.g. colorimeters
- G01J3/50—Measurement of colour; Colour measuring devices, e.g. colorimeters using electric radiation detectors
- G01J3/506—Measurement of colour; Colour measuring devices, e.g. colorimeters using electric radiation detectors measuring the colour produced by screens, monitors, displays or CRTs
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- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J3/00—Spectrometry; Spectrophotometry; Monochromators; Measuring colours
- G01J3/46—Measurement of colour; Colour measuring devices, e.g. colorimeters
- G01J3/50—Measurement of colour; Colour measuring devices, e.g. colorimeters using electric radiation detectors
- G01J3/51—Measurement of colour; Colour measuring devices, e.g. colorimeters using electric radiation detectors using colour filters
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- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M11/00—Testing of optical apparatus; Testing structures by optical methods not otherwise provided for
- G01M11/02—Testing optical properties
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- G09G2360/00—Aspects of the architecture of display systems
- G09G2360/14—Detecting light within display terminals, e.g. using a single or a plurality of photosensors
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- G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
- G09G2360/00—Aspects of the architecture of display systems
- G09G2360/14—Detecting light within display terminals, e.g. using a single or a plurality of photosensors
- G09G2360/145—Detecting light within display terminals, e.g. using a single or a plurality of photosensors the light originating from the display screen
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Abstract
The invention provides a display light field radiation measurement method for realizing measurement of hyperspectral information of a display screen to be measured, which specifically comprises the following steps: s1: controlling a display screen to be tested to display a first group of pictures, and obtaining spectral power distribution of an area A of the display screen to be tested under the corresponding pictures by utilizing the spectral measuring device; s2: selecting specific two or more filters according to the spectral power distribution of the region A obtained in the step S1; s3: controlling a display screen to be tested to display a second group of pictures, sequentially cutting the optical filter selected in the step S2 into an optical path, and receiving light in the area B of the display screen to be tested by an area array sensor through an imaging lens and the optical filter; s4: and calculating the spectral power distribution of each position point in the area B of the display screen to be tested when the second group of pictures are displayed according to the pixel response value of the area array sensor in the step S3 and the spectral power distribution of the area A of the display screen to be tested in the step S1.
Description
Technical Field
The invention relates to the field of photoelectric testing, in particular to a method for measuring radiation of a display light field.
Background
Today, the rapid and accurate measurement of basic optical parameters such as brightness and chromaticity is important for the research and development, production and quality control of display screens. The luminance and chromaticity of a display screen are typically measured using a spot-type luminance meter or an image-type luminance meter. The aiming point type luminance meter can only aim at measuring the luminance and the chromaticity of one point at a time, the efficiency of measuring the whole two-dimensional plane is low, and a great deal of time is required to be consumed in evaluating the uniformity of the display screen. The image type brightness meter is provided with a two-dimensional area array sensor, and an optical filter which enables the response of the two-dimensional area array sensor to be matched with the visual function of human eyes is arranged in front of the two-dimensional area array sensor, so that the brightness of each point in the two-dimensional plane of the display screen can be rapidly obtained through one-time imaging measurement. However, the spectrum matching degree of the image type luminance meter is generally lower than that of the high-precision optical filter aiming point type luminance meter, the matching degree of the optical filter set of the image type luminance meter and the human eye chromaticity function is generally poor, and great errors exist in corresponding measured luminance and chromaticity parameters. Although the correction of the image type luminance meter can be realized by measuring the spectral power distribution of a small area through the aiming type luminance meter, the spectrum measured by the spectrometer in the method cannot form a corresponding relation with each pixel point in the image type luminance meter, the luminance and the chromaticity of the display screen are often uneven, and the correction coefficient of the small area cannot be applied to the luminance and the chromaticity correction of the whole area of the display screen.
In recent years, hyperspectral image type brightness meters are applied to display light color measurement in the market, a large number of narrow-band filters are adopted to obtain hyperspectral images, so that brightness and chromaticity of each point of a display screen are obtained through calculation, but the measurement speed is low due to the large number of required narrow-band filters, and the requirements of rapid measurement in the processes of research, development, production and quality control of the display screen cannot be met.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a display light field radiation measurement method, which aims to realize rapid and accurate measurement of brightness, chromaticity and uniformity of a display screen.
In order to achieve the above purpose, the technical scheme adopted by the invention is as follows:
the invention provides a display light field radiation measurement method, which utilizes a spectrum measurement device, an optical filter and an imaging measurement device comprising an area array sensor to realize the measurement of hyperspectral information of a display screen to be measured, and specifically comprises the following steps:
s1: controlling a display screen to be tested to display a first group of pictures, and obtaining spectral power distribution of an area A of the display screen to be tested under the corresponding pictures by utilizing the spectral measuring device;
s2: selecting specific two or more filters according to the spectral power distribution of the region A obtained in the step S1;
s3: controlling a display screen to be tested to display a second group of pictures, sequentially cutting the optical filter selected in the step S2 into an optical path, receiving light of a region B of the display screen to be tested by an area array sensor through an imaging lens and the optical filter, and enabling each position point in the region B of the display screen to be tested to correspond to a specific pixel point of the area array sensor;
s4: and calculating the spectral power distribution of each position point in the area B of the display screen to be tested when the second group of pictures are displayed according to the pixel response value of the area array sensor in the step S3 and the spectral power distribution of the area A of the display screen to be tested in the step S1.
In the above technical solution, the area B may be an entire light emitting area of the display screen to be tested, the area a may be a designated light emitting area on the display screen to be tested, and the area a is located in the area B, as shown in fig. 1. A particular pixel or set of pixels on the area sensor corresponds to the a-region. The hyperspectral information of the display screen to be tested refers to spectral power distribution data of all position points of the region B. The first group of pictures and the second group of pictures can be respectively one picture or can be respectively two or more picture groups. The filter selected in step S2 is typically a bandpass filter.
In the above technical solution, after the spectral power distribution of the area a of the display screen to be measured under the corresponding picture is obtained by using the spectral measurement device, the peak wavelengths of each primary color of the display screen to be measured are obtained according to the spectral power distribution of the area a, and the peak wavelengths of each primary color of the display screen to be measured in the step S1 are covered in the conduction band of the selected two or more bandpass filters.
Further, each primary color of the display screen to be tested corresponds to at least one bandpass filter, and the number of the bandpass filters is greater than or equal to the number of the primary colors of the display screen to be tested. Generally, the larger the number of the band-pass filters is, the higher the measurement accuracy is, but the consumed measurement time is also increased.
In the above technical solution, in step S1, the display screen to be tested is controlled to display a first group of pictures, where the first group of pictures includes two or more different pictures, and the spectrum measuring device measures the spectrum power distribution under each picture respectively.
In the above technical solution, the step S4 specifically includes: according to the spectral power distribution of the A area when the display screen to be measured, which is measured by the spectral measuring device in the step S1, displays the first group of pictures (S R (λ),S G (λ),S B (lambda)) and analyzing to obtain the spectrum power distribution curve of each primary color of the display screen to be tested and the spectrum peak position of each primary color; according to step S3, measuring the light color signal of the B region of the display screen to be measured when the second group of pictures is displayed by using the imaging device, wherein a specific band-pass filter combination is selected according to the spectrum peak position of each primary color of the display screen to be measured, each pixel response value under different band-pass filters is obtained by using the area array sensor, and then the peak intensity coefficient of each primary color of each position point of the B region of the display screen to be measured when the second group of pictures is displayed is calculatedSuperposing the spectral power distribution of each primary color in the area A of the display screen to be tested according to the spectral peak intensity coefficient of each primary color at the position point (i, j) in the area B of the display screen to be tested, and calculating according to the formula (1) to obtain the display screen to be testedSpectral power distribution S (lambda) of a location point (i, j) in the region of display screen B i,j . And obtaining the brightness and chromaticity coordinates of each position point of the B region through calculation after obtaining the spectral power distribution of each position point of the B region.
Wherein S is R (lambda) is the spectral power distribution of the red primary; s is S G (lambda) is the spectral power distribution of the green primary; s is S B (lambda) is the spectral power distribution of the blue primary;for each primary color peak intensity coefficient.
The peak intensity coefficient of each primary colorTypically absolute value coefficients.
Further, in the above technical solution, the first group of pictures in the step S1 and the second group of pictures in the step S3 have one or more identical pictures, and the response values of the a area obtained by the area array sensor under the identical pictures under different band-pass filters are compared with the absolute peak intensities of the spectral power distribution of the a area obtained in the step S1, so as to obtain the peak intensity coefficients of each primary color under the combination of the area array sensor and each band-pass filter, and further obtain the peak intensity coefficients of each primary color of each position point under the corresponding picture when any picture of the display screen to be measured is measured.
Specifically, in the above technical solution, step S2 is to select a bandpass filter (filter 1 ,filter 2 ...filter n ) Sequentially cutting into light paths to obtain pixel response values (D) of the A region obtained by the area array sensor under the selected band-pass filter when the display screen to be tested displays a specific picture 1 ,D 2 …D n ) And is matched with each of the spectral power distributions of the A region obtained in the step S1Peak intensity (P) corresponding to the band-pass filter 1 (λ 1 ),P 2 (λ 2 )…P n (λ n ) In which lambda is compared with 1 、λ 2 …λ n Is the corresponding peak wavelength; obtaining the area array sensor on a band-pass filter according to the formula (2) n The peak intensity coefficient (k) 1 ,k 2 …k n ). And correcting the pixel response value obtained by the area array sensor in the step S3 through the peak intensity coefficient, thereby obtaining the peak intensity coefficient of each primary color corresponding to each position point under the picture.
Wherein D is n The area A obtained for the area array sensor is provided with a band-pass filter n The pixel response below; p (P) n (lambda) is the bandpass filter in the spectral power distribution of the A region obtained in step S1 n Corresponding peak intensities; k (k) n Is an area array sensor at a band-pass filter n The peak intensity coefficient of each pixel response below.
It should be noted that, the response value of the spectrum measuring device under the corresponding picture of the display screen and the response value of each pixel of the array sensor under different band-pass filters can be calibrated in advance by a standard light source with known light radiation intensity distribution. The standard light source is typically a continuous spectrum light source with standard magnitude, including but not limited to standard a light source, D65, etc. energy spectrum light source. According to the previous calibration, each pixel response value obtained by the array sensor under the different band-pass filters can be directly analyzed to obtain each primary color peak intensity coefficient of each position point.
In the above technical solution, in step S1, the first group of pictures includes two or more pictures with different gray scales; and S4, analyzing the primary color spectrum power distribution of the first group of picture display screens in different gray scales, judging the gray scale of each position point according to the pixel response value when analyzing the second group of pictures, and combining the primary color spectrum power distribution of the corresponding gray scale with the primary color peak intensity coefficient to obtain the spectrum power distribution of each position point. The spectral power distribution is measured at a plurality of gray levels because the spectral power distribution of a portion of the display screen varies from gray level to gray level. The scheme fully considers the problem, and judges the gray scale region according to the response value, so that more proper combination of the same spectrum power distribution and the primary color peak intensity coefficient is called, and more accurate hyperspectral information is obtained.
Specifically, the corresponding relation between the intensity coefficient of each primary color peak value and the gray scale of each position point in the B area when the display screen to be tested displays different gray scale pictures is obtained through the first group of pictures, and a database is established. And when the second group of pictures is measured, searching the spectrum power distribution of the primary colors corresponding to the gray scale through the peak intensity coefficient of each primary color, and further obtaining the spectrum power distribution of each position point under the current gray scale.
It should be noted that, in general, a display screen is composed of red, blue and green 3 sub-pixels, and the output of each sub-pixel can be divided into 256 gray scales, and the gray scales of the displayed screen are generally expressed as (gray scale R, gray scale G, and gray scale B). The primary color picture is a 255 gray scale pure color picture displayed by a single sub-pixel, namely a pure red (255, 0), a pure green (0,255,0) and a pure blue (0,0,255) picture. The picture mixed by the multiple primary colors is a mixed color picture displayed by the red, blue and green three primary color sub-picture according to different gray scale ratios. When the gray scale of the display screen is 255, the display screen displays a pure white picture (255 ). It will be appreciated by those skilled in the art that there may be other primary colors of the display than red, blue and green, and reference is made to the above.
As a technical solution, in order to obtain more accurate brightness and chromaticity coordinates of each position point of the B region, an optical filter or an optical filter combination simulating luminosity or chromaticity response of human eyes may be introduced to further correct the brightness and chromaticity coordinates of each position point of the B region, specifically, after step S4, the method further includes the following steps:
s5: cutting an optical filter (tristimulus value optical filter set) simulating human eye luminosity or chromaticity response into a measuring light path, and controlling the display screen to be measured to display a third group of pictures to be measured, wherein light beams emitted by the optical filter enter an area array sensor through the optical filter, so as to obtain brightness values or tristimulus values of all position points in a B region of the display screen to be measured;
s6: according to the spectral power distribution obtained in the step S4, a correction algorithm is adopted to obtain the brightness or tristimulus value correction coefficient of each position point in the B region;
s7: and (3) correcting the brightness value or the tristimulus value obtained in the step (5) by using the correction coefficient obtained in the step (S6) to obtain the brightness value or the tristimulus value after correction of each position point in the region of the third group of pictures (B).
Preferably, the third set of pictures in the step S5 is the same as the second set of pictures.
In the above technical solution, the correction algorithm described in step S6 includes, but is not limited to, a spectral mismatch correction algorithm and a ratio method.
In a specific embodiment, the tristimulus value correction coefficient F of the position point (i, j) in the area B of the display screen to be tested * (S Z (λ)) i,j The tri-stimulus value correction coefficient F of the position point (i, j) in the B region is obtained by calculation of a spectrum mismatch correction algorithm according to a formula (3) * (S Z (λ)) i,j 。
Wherein S is A (lambda) is the relative spectral power distribution of the standard light source; s is(s) rel () An actual spectral response curve (x) obtained for an area array sensor in combination with a filter simulating the chromatic response of the human eye rel (),y rel () And z rel ());S Z () The relative spectral power distribution of the display screen to be tested is obtained; v (λ) is three standard chromaticity observer functions x (), y (λ), and z (). The tristimulus value correction coefficient F thus obtained * (S Z () Corresponding to three, respectively denoted as k () i,j 、k() i,j 、k(z) i,j 。
In another embodiment, the tristimulus value correction coefficient F of the position point (i, j) in the area B of the display screen to be tested * (S Z () Obtained by ratio calculation, corresponding to three, respectively denoted as k (x) i,j 、k() i,j 、k(z) i,j Calculated according to formula (4).
Wherein,,calculating the obtained tristimulus values for the spectral power distribution of each position point (i, j) obtained in the step S4; />Tristimulus values for the respective position points (i, j) obtained in the step S5.
Further, the second group of pictures in the step S3 is a mixture of each primary color and all primary colors of the same gray level, and the spectral power distribution of each position under the pictures is obtained in the step S4; in the step S5, optical filters simulating the chromaticity response of human eyes are sequentially cut in; the correction algorithm adopted in the step S6 is a matrix correction algorithm, and the tristimulus value correction coefficients of the position points are correction coefficient matrixes; the third group of pictures in the step S5 and the step S7 are arbitrary display pictures.
It should be noted that, the tristimulus value correction matrix of the position point (i, j) in the B region may be obtained by a matrix correction algorithm. Specifically, taking a red-blue-green trichromatic display screen as an example, the pictures in the specific picture set include trichromatic pictures (pure red (255, 0), pure green (0,255,0), pure blue (0,0,255)), and according to the spectral power distribution of the B region of each picture obtained in step S4, tristimulus values of the trichromatic pictures can be calculated and obtainedThree primary colors of each picture obtainable according to step S5Tristimulus values +.>Tristimulus value correction matrix R i,j Then it is calculated from equation (5).
After the tristimulus value correction matrix R is obtained through calculation, an optical filter simulating human eye chromaticity response is sequentially cut into an optical path to obtain tristimulus values M i,j As shown in the formula (6), the correction matrix R is combined i,j Corrected tristimulus value M' i,j Calculated by equation (7).
Wherein,,the tri-stimulus value before correction is obtained by measurement; />Is the corrected tristimulus value.
Furthermore, in order to improve the measurement efficiency, the measurement steps are reduced, and the rapid measurement is realized by a mode of presetting a correction coefficient database. Specifically, different types of calibration display screens are adopted as calibration objects, the calibration display screens are controlled to display different gray-scale pictures, and the steps S1-S7 are repeated to obtain the corresponding relation between the tristimulus value correction coefficient of the calibration display screen under the different gray-scale pictures and the tristimulus value obtained by the filtering channel simulating the human eye chromaticity response. When the display screen to be measured is measured, the tristimulus values obtained through the optical filtering channel simulating the human eye chromaticity response are directly called the tristimulus value correction coefficients in the database, so that the tristimulus values after the correction of the picture to be measured of the display screen to be measured are obtained.
The invention has the beneficial effects that: the invention provides a display light field radiation measurement method, which can realize hyperspectral measurement only by selecting a small amount of narrow-band optical filters according to a display screen to be measured, and can quickly and accurately realize the brightness and chromaticity measurement of each point of different gray-scale pictures of the display screen to be measured by combining an optical filter set for simulating human eye chromaticity response.
Drawings
FIG. 1 is a schematic diagram of an area A and an area B of a display screen to be tested;
FIG. 2 is a schematic diagram of the technical scheme of the present invention;
FIG. 3 is a schematic diagram of a light field radiation measurement device according to a first embodiment of the present invention;
FIG. 4 is a flowchart showing a method for measuring radiation of a light field according to a first embodiment of the present invention;
FIG. 5 is a schematic diagram of a device for measuring radiation of a display light field according to a second embodiment of the present invention;
FIG. 6 is a flow chart showing a method for measuring radiation of a light field according to a second embodiment of the present invention;
FIG. 7 is a flowchart showing a method for measuring radiation of a light field according to a third embodiment of the present invention;
fig. 8 is a flowchart showing a light field radiation measurement method according to a fourth embodiment of the present invention.
In the figure, 1 is an optical lens, 2 is a reflecting mirror, 3 is a signal processing and outputting unit, 4 is an area array sensor, 5 is a color filter wheel, 5-1 is a bandpass filter, 5-2 is a filter for simulating human eye chromaticity response, 6 is a spectrum measuring device, and 7 is a coaxial driving device.
Detailed Description
The following detailed description of the invention is given by way of illustration only and not by way of limitation, as will be understood by those skilled in the art in conjunction with the accompanying drawings. It will be appreciated by those skilled in the art that modifications may be made to the following embodiments without departing from the scope and spirit of the invention. The scope of the invention is defined by the appended claims.
Example 1
The embodiment discloses an imaging optical radiation measuring device, as shown in fig. 3, which comprises an optical lens 1, a reflecting mirror 2, a signal processing and outputting unit 3, an area array sensor 4, a color filter wheel set 5, a spectrum measuring device 6 and a coaxial driving device 7. Wherein the reflecting mirror 2 is positioned on the color filter wheel set 5, and the position switching of the reflecting mirror 2 can be realized through the coaxial driving device 7; when the reflecting mirror 2 is positioned in the measuring light path, light beams can be led into the spectrum measuring device 6 to obtain spectrum power distribution of the appointed point position of the display screen to be measured; the reflector 2 is cut off from the measuring light path, and then the light beam emitted by the display screen to be measured is received by the area array sensor 4 through the band-pass filter 5-1 of the color filter wheel set 5; the coaxial driving device 7 can sequentially cut different optical filters 5-1 into a measuring light path; the signal processing and outputting unit 3 can process and calculate the signals received by the spectrum measuring device 6 and the area array sensor 4.
The embodiment discloses a method for measuring radiation of a display light field, as shown in fig. 4, a response value of an area array sensor under different band-pass filters and a spectrum measuring device are calibrated in advance through a standard A light source, and then the spectrum measuring device, the filters and an imaging measuring device comprising the area array sensor are utilized to realize measurement of hyperspectral information of a display screen to be measured, and the method specifically comprises the following steps:
a1: using standard light sources with known light radiation intensity distribution to calibrate responses of the light measuring device and the area array sensor under different band-pass filters to obtain corresponding correction coefficients;
a2: controlling the display screen to be tested to display red, blue and green primary color pictures in a distributed manner, and respectively measuring the three primary color pictures by adopting a spectrum measuring device to obtainTo obtain the spectral power distribution (S) R (λ) i,j ,S G (λ) i,j ,S B (λ) i,j );
A3: according to the spectral power distribution of the area A obtained in the step A1, obtaining the peak wavelength positions of the spectral power distribution of three primary color pictures, and selecting three narrowband filters with the center wavelength closest to the three peak wavelength positions;
a4: controlling a display screen to be tested to display a picture to be tested, sequentially cutting the three narrow-band optical filters selected in the step A3 into an optical path, receiving light in a region B of the display screen to be tested by an area array sensor through an imaging lens and the optical filters, and obtaining response values of all pixels under different band-pass optical filters by the area array sensor, so as to calculate and obtain peak intensity coefficients of all primary colors of all position points in the region B when the display screen to be tested displays the picture to be testedEach position point in the area B of the display screen to be tested corresponds to a specific pixel point of the area array sensor;
a5: by distributing the spectral power of the primary colors in the A region of the display screen to be measured (S R (λ),S G (λ),S B (lambda)) according to the peak intensity coefficients of the primary colors of each position point of the B region of the display screen to be testedSuperposition is carried out by the formula->Calculating to obtain spectral power distribution S (lambda) of each position point (i, j) of the B region of the display screen to be detected i,j The method comprises the steps of carrying out a first treatment on the surface of the Wherein S is R (λ) i,j Spectral power distribution for the primary color red, S G (λ) i,j Spectral power distribution for the primary color green, S B (λ) i,j Spectral power distribution for the primary color blue, +.>Peak intensity coefficients for each primary color; the peak intensity coefficient of each primary color in this embodiment refers to an absolute value coefficient;
a6: and obtaining the brightness and chromaticity coordinates of each position point of the B region through calculation after obtaining the spectral power distribution of each position point of the B region.
Example two
The embodiment discloses an imaging optical radiation measuring device, as shown in fig. 5, which comprises an optical lens 1, a reflecting mirror 2, a signal processing and outputting unit 3, an area array sensor 4, a color filter wheel set 5, a spectrum measuring device 6 and a coaxial driving device 7. Wherein the reflecting mirror 2 is positioned on the color filter wheel set 5, and the position switching of the reflecting mirror 2 can be realized through the coaxial driving device 7; when the reflecting mirror 2 is positioned in the measuring light path, the light beam can be guided into the spectrum measuring device 6 to obtain the spectrum power distribution of the appointed point position of the measured object; the reflector 2 is cut off from the measuring light path, and then the light beam of the measured object is received by the area array sensor 4 through the color filter wheel set 5, wherein a band-pass filter 5-1 and a filter 5-2 for simulating the chromaticity response of human eyes are respectively arranged in the color filter wheel 5; the coaxial driving device 7 can sequentially cut different optical filters into a measuring light path; the signal processing and outputting unit 3 can process and calculate the signals received by the spectrum measuring device 6 and the area array sensor 4.
The embodiment also discloses a measuring method for radiation of a display light field, as shown in fig. 6, the measuring steps include:
b1: using standard light sources with known light radiation intensity distribution to calibrate responses of the light measuring device and the area array sensor under different band-pass filters to obtain corresponding correction coefficients;
b2: controlling a display screen to be tested to display images respectively displaying red, blue and green primary colors, respectively measuring three primary colors by a spectrum measuring device to obtain spectrum power distribution of the three primary colors in an area A of the display screen to be tested (S) R (λ) i,j ,S G (λ) i,j ,S B (λ) i,j );
B3: according to the peak wavelength positions of the spectral power distribution of the three primary color pictures in the area A, three narrowband filters with the center wavelength closest to the three peak wavelength positions are selected;
b4: b3, the display is controlled to display a picture to be detected, the three narrow-band optical filters selected in the step B3 are sequentially cut into an optical path, light in the B area of the display screen to be detected is received by an area array sensor through an imaging lens and the optical filters, the area array sensor obtains response values of all pixels under different band-pass optical filters, and then the primary color peak intensity coefficients of all position points in the B area when the picture to be detected is displayed by the display screen to be detected are obtained through calculationEach position point in the area B of the display screen to be tested corresponds to a specific pixel point of the area array sensor;
b5: by distributing the spectral power of the primary colors in the A region of the display screen to be measured (S R (λ),S G (λ),S B (lambda)) according to the peak intensity coefficients of the primary colors of each position point of the B region of the display screen to be testedSuperposition is carried out by the formula->Calculating to obtain spectral power distribution S (lambda) of each position point (i, j) of the B region of the display screen to be detected i,j The method comprises the steps of carrying out a first treatment on the surface of the Wherein S is R (λ) i,j Spectral power distribution for the primary color red, S G (λ) i,j Spectral power distribution for the primary color green, S B (λ) i,j Spectral power distribution for the primary color blue, +.>Peak intensity coefficients for each primary color; the peak intensity coefficient of each primary color in this embodiment refers to an absolute value coefficient;
b6: sequentially cutting optical filters simulating human eye chromaticity response into light paths, and enabling light beams emitted by a display screen to be tested to enter an area array sensor through the optical filters to obtain each position in a B area of the same picture of the display screen to be testedTristimulus value M of placement point i,j ;
B7: according to the spectral power distribution S (lambda) of each position point (i, j) of the B region of the display screen to be tested obtained in the step B5 i,j And a response curve of the tristimulus value filtering channel, and obtaining a tristimulus value correction coefficient F of each position point in the B region by adopting a spectrum mismatch correction algorithm * (S Z (λ)) i,j According to the formulaThe calculation result shows that the method comprises the steps of, wherein S is A (lambda) is the relative spectral power distribution of the standard light source; s is(s) rel () An actual spectral response curve (x) obtained for an area array sensor in combination with a filter simulating the chromatic response of the human eye rel (),y rel () And z rel ());S Z () The relative spectral power distribution of the display screen to be tested is obtained; v (λ) is three standard chromaticity observer functions x (), y (), and z (). The tristimulus value correction coefficient F thus obtained * (S Z () Corresponding to three, respectively denoted as k () i,j 、k() i,j 、k(z) i,j 。
B8: correction factor F of tristimulus value obtained according to said step B7 * (S Z () For the tristimulus value M obtained in the step B6 i,j Correcting to obtain corrected tristimulus values M 'of all position points in the current display picture B region' i,j Further obtaining the brightness and chromaticity coordinate values of each position point in the area B of the current display picture.
Example III
The embodiment also discloses another imaging optical radiation measurement method, as shown in fig. 7, the measurement steps include:
c1: controlling the display screen to be tested to display a pure white picture;
c2: the spectrum power distribution of the region A of the display screen to be detected under the corresponding picture is obtained by utilizing a spectrum measuring device, and more than three specific bandpass filters are selected according to the spectrum power distribution;
and C3: c2, controlling the display screen to be tested to display primary color pictures, sequentially cutting the bandpass filter selected in the step C into a light path, enabling light in the area B of the display screen to be tested to enter through an imaging lens and enabling the filter to be received by an area array sensor, wherein position points in the area B of the display screen to be tested correspond to specific pixel points of the area array sensor; the primary color picture refers to a pure red or pure green or pure blue picture;
and C4: according to the pixel response value of the area array sensor in the step S3 and the spectral power distribution of the area A of the display screen to be tested in the step C1, calculating the spectral power distribution of each position point in the area B of the current picture of the display screen to be tested, and further calculating and obtaining the tristimulus values of three primary colors of each picture
C5: the display screen to be tested is controlled to sequentially display pure red, pure green and pure blue pictures, and the steps C2-C4 are repeated to obtain the spectral power distribution of each position point in the B region of the pure red, pure green and pure blue pictures (S) R (λ),S G (λ),S B (λ));
C6: the display screen to be tested is controlled to sequentially display pure white, pure red, pure green and pure blue pictures, an optical filter simulating human eye chromaticity response is sequentially cut into a light path, light in a B area of the display screen to be tested is incident through an imaging lens and is received by an area array sensor through the optical filter, and tristimulus values under the pure-color picture of each position point in the B area are obtained
C7: tristimulus values obtained from spectral power distribution according to C5And C6-derived tristimulus values +.>By passing throughFormula->Calculating to obtain a tristimulus value correction matrix R i,j The method comprises the steps of carrying out a first treatment on the surface of the Wherein,,
and C8: controlling a display screen to be tested to display a picture to be tested, sequentially cutting optical filters simulating human eye chromaticity response into light paths to obtain tristimulus values M i,j Tristimulus value correction matrix R obtained by combining with C7 i,j According to formula M' i,j = i,j · i,j Calculating the corrected tristimulus values M 'of all the position points in the current display picture B region' i,j Further obtaining the brightness and chromaticity coordinate values of each position point in the area B of the current display picture.
Example IV
The embodiment also discloses another imaging optical radiation measurement method, as shown in fig. 8, the measurement steps include:
d1: using standard light sources with known light radiation intensity distribution to calibrate responses of the light measuring device and the area array sensor under different band-pass filters to obtain corresponding correction coefficients;
d2: controlling a display screen to be tested to respectively display different gray-scale pictures, respectively measuring each gray-scale picture by adopting a spectrum measuring device, and obtaining the spectrum power distribution (S) of each gray-scale picture in the A area of the display screen to be tested Rt (λ), Gt (λ), Bt (lambda)), wherein t is 0-255, representing the gray scale level of the gray scale picture;
d3: d2, obtaining peak wavelength positions of the spectral power distribution of the three primary color pictures according to the spectral power distribution of the area A obtained in the step, and selecting three narrow-band filters with center wavelengths closest to the three peak wavelength positions;
d4: controlling the display screen to be tested to respectively display the different gray-scale pictures in the step D2, and sequentially displaying the different gray-scale picturesThe three narrow-band filters selected in the step D3 cut into the light path, the light of the B region of the display screen to be detected is received by the area array sensor through the imaging lens and the filters, and the response values of all pixels under different band-pass filters obtained by the area array sensor are further calculated to obtain the peak intensity coefficients of all primary colors of all position points of the B region when the gray-scale t picture is displayed on the display screen to be detectedEach position point in the area B of the display screen to be tested corresponds to a specific pixel point of the area array sensor;
d5: establishing the peak intensity coefficient of each primary color by the steps D1 to D4Spectral power distribution (S) Rt (λ), Gt (λ), Bt (lambda)) and a corresponding database of gray scales t.
D6: controlling a display screen to be tested to display a picture to be tested, sequentially cutting the three narrow-band optical filters selected in the step D3 into an optical path, receiving light in a B region of the display screen to be tested by an area array sensor through an imaging lens and the optical filters, and obtaining response values of all pixels under different band-pass optical filters by the area array sensor, so as to calculate and obtain peak intensity coefficients of all primary colors of all position points in the B region when the display screen to be tested displays the picture to be tested
D7: according to the step D6, obtaining the peak intensity coefficients of each primary color of each position point of the B area when the display screen to be tested displays the picture to be testedSearching in the database of step D6, matching to obtain corresponding gray scale and spectral power distribution of each primary color (S Rt (λ), Gt (λ), Bt (λ))。
D8: by distributing the spectral power of the primary colors in the A region of the display screen to be measured (S Rt (λ), Gt (λ), Bt (lambda)) according to the peak intensity coefficients of the primary colors of each position point of the B region of the display screen to be testedSuperposition is carried out by the formula->Calculating to obtain spectral power distribution S of each position point (i, j) of the B region of the display screen to be detected t (λ) i,j The method comprises the steps of carrying out a first treatment on the surface of the Wherein S is Rt (lambda) is the spectral power distribution of red at t gray scale, S Gt (λ) i,j For the spectral power distribution of green at the t gray scale, S Bt (λ) i,j For the spectral power distribution of blue at t gray scale,the peak intensity coefficient of each primary color under the t gray scale; the peak intensity coefficient of each primary color in this embodiment refers to an absolute value coefficient;
d9: and obtaining the brightness and chromaticity coordinates of each position point of the B region through calculation after obtaining the spectral power distribution of each position point of the B region.
Claims (11)
1. The display light field radiation measurement method is characterized in that a spectrum measurement device, an optical filter and an imaging measurement device comprising an area array sensor are utilized to realize measurement of hyperspectral information of a display screen to be measured, and the method specifically comprises the following steps:
s1: controlling a display screen to be tested to display a first group of pictures, and obtaining spectral power distribution of an area A of the display screen to be tested under the corresponding pictures by utilizing the spectral measuring device;
s2: selecting specific two or more bandpass filters according to the spectral power distribution of the region A obtained in the step S1;
s3: controlling the display screen to be tested to display a second group of pictures, sequentially cutting the optical filter selected in the step S2 into an optical path, receiving light of the area B of the display screen to be tested by the area array sensor through the imaging lens and the optical filter, and imaging each position point in the area B of the display screen to be tested on a corresponding pixel point of the area array sensor;
s4: and calculating the spectral power distribution of each position point in the B area of the display screen to be tested when the second group of pictures are displayed according to the pixel response value of the area array sensor in the step S3 and the spectral power distribution of the A area of the display screen to be tested in the step S1.
2. The method of claim 1, wherein in step S2, the primary color peak wavelength of the display screen to be measured is obtained according to the spectral power distribution of the a region, and the on-band of the selected bandpass filter covers the primary color peak wavelength of the display screen to be measured.
3. A method of measuring radiation of a display light field as claimed in claim 2, characterized in that each primary color of the display screen to be measured corresponds to at least one bandpass filter, the number of bandpass filters being greater than or equal to the number of primary colors of the display screen to be measured.
4. A method of measuring radiation in a display light field as claimed in claim 1 or 2, characterized in that in step S1 the first set of pictures comprises two or more different pictures, and the spectral measuring means measure the spectral power distribution under each picture separately.
5. A method of measuring radiation in a display light field as claimed in claim 1, wherein said step S4 comprises: according to the spectral power distribution analysis of the A region of the display screen to be tested measured in the step S1, the spectral power distribution of each primary color of the display screen to be tested is obtained (S R (λ),S G (λ),S B (lambda)); according to the response values of each pixel of the area array sensor in the step S3, calculating to obtain the peak intensity coefficient of each primary color peak value of each position point (i, j) of the display screen to be tested when displaying the second group of picturesEach primary color isThe spectral power distribution S (lambda) of each position point is obtained by combining the spectral power distribution and the peak intensity coefficient of each primary color i,j 。
6. A method of measuring radiation in a display field as claimed in claim 5, wherein the area a of the display screen to be measured is in the area B, and the specific pixel or the set of pixels on the area sensor corresponds to the area a.
7. The method of claim 6, wherein the first group of pictures in the step S1 and the second group of pictures in the step S3 have one or more identical pictures, and the response values of the a area obtained by the area array sensor under the identical pictures under different band pass filters are compared with the peak intensities of the spectral power distribution of the a area obtained in the step S1, so as to obtain the peak intensity coefficients of the primary colors under the combination of the area array sensor and each band pass filter, and further obtain the peak intensity coefficients of the primary colors of each position point under the corresponding picture when any picture of the display screen to be measured is measured.
8. A method of displaying a light field radiometric measurement as claimed in any one of claims 5 or 6 or 7 wherein said first set of pictures in step S1 comprises pictures at two or more different gray scales; and S4, analyzing the primary color spectrum power distribution of the display screen to be tested in different gray scale levels of the first group of pictures, judging the gray scale where each position point is located while calculating the primary color peak intensity coefficient of each position point when the display screen to be tested displays the second group of pictures, and combining the primary color spectrum power distribution corresponding to the gray scale with the primary color peak intensity coefficient to obtain the spectrum power distribution of each position point.
9. A method of displaying light field radiation measurements according to claim 1 or 2, characterized in that after said step S4 the steps of:
s5: cutting an optical filter simulating human eye luminosity or chromaticity response into an optical path, controlling the display screen to be tested to display a third group of pictures to be tested, and obtaining brightness values or tristimulus values of all position points in a B region of the display screen to be tested by the area array sensor;
s6: according to the spectral power distribution obtained in the step S4, a correction algorithm is adopted to obtain the brightness or tristimulus value correction coefficient of each position point in the B region;
s7: and (3) correcting the brightness value or the tristimulus value obtained in the step (5) by using the correction coefficient obtained in the step (S6) to obtain the brightness value or the tristimulus value after correction of each position point in the region of the third group of pictures (B).
10. A method of displaying radiometric measurements as claimed in claim 9 wherein the third set of images in step S5 is the same as the second set of images and the correction algorithm in step S6 includes, but is not limited to, a spectral mismatch correction algorithm, a ratio method.
11. A method of displaying a light field radiometric measurement as claimed in claim 9, wherein the second set of pictures in step S3 are a mixture of primary colors and all primary colors of the same gray scale, and the spectral power distribution of the positions under these pictures is obtained in step S4; in the step S5, optical filters simulating the chromaticity response of human eyes are sequentially cut in; the correction algorithm adopted in the step S6 is a matrix correction algorithm, and the tristimulus value correction coefficients of the position points are correction coefficient matrixes; the third group of pictures in the step S5 and the step S7 are arbitrary display pictures.
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