WO2022041142A1 - 亮色度校正的方法和装置 - Google Patents
亮色度校正的方法和装置 Download PDFInfo
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- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/60—Extraction of image or video features relating to illumination properties, e.g. using a reflectance or lighting model
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- G06V10/40—Extraction of image or video features
- G06V10/56—Extraction of image or video features relating to colour
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- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N1/00—Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof
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- H04N9/00—Details of colour television systems
- H04N9/77—Circuits for processing the brightness signal and the chrominance signal relative to each other, e.g. adjusting the phase of the brightness signal relative to the colour signal, correcting differential gain or differential phase
Definitions
- the present invention relates to the technical field of image processing, and in particular, to a method and device for luminance and chrominance correction.
- the point-by-point non-uniformity correction of the LED display has become an indispensable link to improve the display quality.
- the brightness control of most LED display screens is mainly realized by PWM.
- the common correction method is to collect the brightness data of LED screen lights under a certain gray scale, and generate the corresponding correction coefficient, that is, the PWM compensation ratio. Afterwards, the correction factor is applied to all displayed grayscales.
- the normal brightness and chromaticity correction depends on the LED brightness linearity. If the LED brightness linearity is not good, the visual uniformity of different gray stages after correction is not good; and because the LED driving technology changes from PM to AM driving, LED The nonlinear problem is becoming more and more obvious, the Mura of different gray stages (in the picture with the same light source and the same background color, the traffic lights visually perceive different degrees of color difference, that is, the unevenness of the image) is very different, and the existing technology cannot adapt to it. such application scenarios.
- Embodiments of the present invention provide a brightness and chromaticity correction method and apparatus, so as to at least solve the technical problem that the prior art cannot effectively improve the display uniformity of different grayscales when solving the brightness and chromaticity differences.
- a brightness and chromaticity correction method comprising: acquiring image input data; performing a first correction on the image input data to obtain a first correction result; performing a second correction according to the first correction result , and obtain a second correction result; wherein, the first correction is one of multi-layer luminance correction and at least one layer of chromaticity correction, and the second correction is the other of multi-layer luminance correction and at least one layer of chromaticity correction.
- performing the first correction on the image input data to obtain the first correction result includes: performing chromaticity correction on the image input data according to the chromaticity correction coefficient to obtain the chromaticity-corrected image input data; The image input data is determined as the first correction result.
- performing the second correction according to the first correction result, and obtaining the second correction result includes: determining the hierarchical position where the chromaticity-corrected image input data is located; acquiring the chromaticity-corrected image input according to the hierarchical position brightness correction coefficient corresponding to the data; correct the corrected image input data according to the brightness correction coefficient to obtain brightness and chromaticity corrected image input data; determine the brightness and chromaticity corrected image input data as the second correction result; In the achievable way, the chromaticity correction is performed first, and then the multi-layer luminance correction is performed to improve the uniformity correction of the LED display screen in all gray scales.
- performing the first correction on the image input data, and obtaining the first correction result includes: determining a hierarchical position where the image input data is located; obtaining a brightness correction coefficient corresponding to the image input data according to the hierarchical position; The data is corrected to obtain brightness-corrected image input data; the brightness-corrected image input data is determined as the first correction result.
- performing the second correction according to the first correction result, and obtaining the second correction result includes: performing chromaticity correction on the luminance-corrected image input data according to the chromaticity correction coefficient, and obtaining the luminance-chrominance-corrected image input data. data; the image input data after brightness and chromaticity correction is determined as the second correction result; in an achievable way, by first performing multi-layer brightness correction and then performing chromaticity correction, the LED display screen can be improved in all grayscales. Uniformity correction.
- the method further includes: collecting image input data by an image collecting device to obtain luminance measurement values of at least two levels; fitting according to the luminance measurement values of at least two levels to obtain a luminance fitting curve; Set the calibration target curve according to the brightness fitting curve and calibration target effect; obtain the grayscale mapping correction value according to the calibration target curve; obtain the brightness correction coefficient according to the grayscale mapping correction value; segment according to the brightness measurement values of different levels Brightness fitting to obtain a fitting curve, so that the calibration target curve can be effectively obtained, so as to obtain the optimal brightness correction coefficient and improve the correction effect.
- the method further includes: collecting the image input data through an image acquisition device to obtain a measured value of brightness and chromaticity of each light point of the selected chromaticity layer; converting the measured value of brightness and chromaticity to obtain a converted Brightness and chromaticity measurement value; adjust the brightness value in the brightness and chromaticity measurement value of each light point according to the common calibration target brightness value of the specified layer in brightness calibration; The information is inversely transformed to obtain the tristimulus value; the chromaticity correction coefficient is obtained according to the tristimulus value and the target value.
- an apparatus for calibrating brightness and chromaticity including: an acquisition module for acquiring image input data; a first correction module for performing a first correction on the image input data to obtain a first a correction result; a second correction module for performing a second correction according to the first correction result to obtain a second correction result; wherein, the first correction is one of multi-layer luminance correction and at least one layer of chromaticity correction, The second correction is the other of multiple layers of luminance correction and at least one layer of chromaticity correction.
- the first correction module includes: a first correction unit for performing chromaticity correction on the image input data according to the chromaticity correction coefficient to obtain the chromaticity-corrected image input data; a first determination unit for chromaticity correction. The degree-corrected image input data is determined as the first correction result.
- the second correction module includes: a first position determination unit for determining the hierarchical position where the chromaticity-corrected image input data is located; a first coefficient acquisition unit for acquiring the chromaticity according to the hierarchical position a brightness correction coefficient corresponding to the corrected image input data; a second correction unit for correcting the corrected image input data according to the brightness correction coefficient to obtain brightness and chromaticity corrected image input data; a second determination unit for The luminance and chrominance corrected image input data is determined as the second correction result.
- the first correction module includes: a second position determination unit for determining the hierarchical position where the image input data is located; a second coefficient acquisition unit for acquiring brightness correction coefficients corresponding to the image input data according to the hierarchical position;
- the third correcting unit is used for correcting the image input data according to the brightness correction coefficient to obtain the brightness-corrected image input data; the third determining unit is used for determining the brightness-corrected image input data as the first correction result.
- the second correction module includes: a fourth correction unit, configured to perform chromaticity correction on the luminance-corrected image input data according to the chromaticity correction coefficient, to obtain the luminance-chromaticity-corrected image input data; the fourth A determination unit, configured to determine the luminance and chrominance corrected image input data as the second correction result.
- the device further includes: a first acquisition module, configured to collect image input data through the image acquisition device to obtain luminance measurement values of at least two levels; a fitting module, configured to obtain luminance measurement values of at least two levels Fitting the measured values to obtain the brightness fitting curve; the setting module is used to set the calibration target curve according to the brightness fitting curve and the effect of the calibration target; the digital acquisition module is used to obtain the grayscale mapping correction according to the calibration target curve
- the brightness correction coefficient acquisition unit is used to obtain the brightness correction coefficient according to the mapping correction value of the gray scale, and obtain the fitting curve by performing segmental brightness fitting according to the brightness measurement values of different levels, so that the correction target curve can be effectively obtained, In this way, the optimal brightness correction coefficient is obtained and the correction effect is improved.
- the device further includes: a second acquisition module, configured to collect the image input data through the image acquisition device to obtain the measured value of brightness and chromaticity of each light point of the selected chromaticity layer; the first conversion module, It is used to convert the measured value of brightness and chromaticity to obtain the measured value of brightness and chromaticity after conversion; the adjustment module is used to adjust the brightness of the measured value of brightness and chromaticity of each light point according to the common calibration target brightness value of the specified layer in brightness calibration.
- a second acquisition module configured to collect the image input data through the image acquisition device to obtain the measured value of brightness and chromaticity of each light point of the selected chromaticity layer
- the first conversion module It is used to convert the measured value of brightness and chromaticity to obtain the measured value of brightness and chromaticity after conversion
- the adjustment module is used to adjust the brightness of the measured value of brightness and chromaticity of each light point according to the common calibration target brightness value of the specified layer in brightness calibration.
- the second conversion module is used to perform inverse conversion according to the adjusted luminance value and the chromaticity information in the luminance and chromaticity measurement values to obtain tristimulus values;
- the chromaticity correction coefficient acquisition unit is used to obtain tristimulus values according to the tristimulus values and The target value obtains the chromaticity correction coefficient.
- a non-volatile storage medium wherein the non-volatile storage medium includes a stored program, wherein when the program is run, a device where the non-volatile storage medium is located is controlled to execute the above method.
- a processor is provided, wherein the processor is used for running a program, wherein the above method is executed when the program is running.
- the present invention by acquiring image input data; performing a first correction on the image input data to obtain a first correction result; performing a second correction according to the first correction result to obtain a second correction result; wherein the first correction is One of the multi-layer brightness correction and at least one layer of chromaticity correction, and the second correction is the other of the multi-layer brightness correction and at least one layer of chromaticity correction, to achieve the purpose of effectively improving the quality of LED correction, so as to achieve
- the technical problem that the prior art still cannot effectively improve the display uniformity of different grayscales when solving the difference in brightness and chromaticity is solved.
- FIG. 1 is a schematic flowchart of a method for brightness and chrominance correction according to an embodiment of the present invention
- FIG. 2 is a schematic diagram of mode 1 in a method for calibrating brightness and chromaticity according to an embodiment of the present invention
- FIG. 3 is a schematic diagram of a second manner in a method for calibrating brightness and chromaticity according to an embodiment of the present invention
- FIG. 4 is a schematic diagram of the implementation of brightness correction in the method for brightness and chrominance correction according to an embodiment of the present invention
- FIG. 5 is a schematic diagram of a fitting curve and a calibration target curve in a method for calibrating brightness and chromaticity according to an embodiment of the present invention
- FIG. 6 is a schematic diagram of an apparatus for luminance and chromaticity correction according to an embodiment of the present invention.
- a method embodiment of a method for luminance and chrominance correction is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, Also, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that herein.
- FIG. 1 is a schematic flowchart of a method for calibrating brightness and chromaticity according to an embodiment of the present invention. As shown in FIG. 1 , the method includes the following steps:
- Step S102 acquiring image input data
- Step S104 performing a first correction on the image input data to obtain a first correction result
- Step S106 performing a second correction according to the first correction result to obtain a second correction result
- the first correction is one of multi-layer luminance correction and at least one layer of chromaticity correction
- the second correction is the other of multi-layer luminance correction and at least one layer of chromaticity correction.
- the multi-layer brightness correction may be at least two layers of brightness correction.
- correction is performed by using brightness correction coefficients in multiple grayscale layers, and the grayscale layers described herein refer to It is a grayscale.
- the grayscale that a display can display is 0-255, it means that the display can display data of 256 grayscales, that is, 256 grayscale layers;
- At least one layer of chromaticity correction is described by taking single-layer chromaticity correction as an example.
- Mura differences are negligible, and the human eye is characterized by being more sensitive to differences in brightness. Therefore, using a single-layer chromaticity correction method can meet the visual perception characteristics of the human eye, and can reduce the amount of data storage without losing accuracy; It is not limited to a single layer.
- the luminance and chromaticity correction method provided by the embodiments of the present application may be combined with a multi-layered correction method, that is, a method of combining multi-layered luminance correction with at least one layer of chromaticity correction.
- the brightness and chromaticity correction method provided by the embodiment of the present application is suitable for PM driving and AM driving LED display screens, and does not depend on the LED brightness linearity, and can simultaneously improve the display uniformity of different gray scales after correction.
- PM drive passive address drive, Passive Matrix, also known as passive addressing, passive addressing, passive drive, etc.;
- AM drive Active address drive, Active Matrix, also known as active addressing, active addressing, active drive, etc.
- the brightness and chromaticity correction method provided in the embodiment of the present application uses a multi-layer correction method to correct the brightness and chromaticity uniformity of the LED, which can greatly improve the uniformity of all gray scales.
- the brightness and chromaticity correction method provided by the embodiment of the present application divides the correction data into two parts: brightness correction and chromaticity correction, and stores multi-layer brightness correction data and single-layer chromaticity correction data. plan. During display, the most suitable luminance correction coefficient and chromaticity correction coefficient are selected according to the input conditions in real time to improve the correction effect.
- the methods based on the combination of the brightness correction coefficient and the chromaticity correction coefficient include the following two:
- Method 1 Combination of single-layer chromaticity correction data and multi-layer luminance correction data
- performing the first correction on the image input data in step S104, and obtaining the first correction result includes: performing chromaticity correction on the image input data to obtain the chromaticity-corrected image input data; The degree-corrected image input data is determined as the first correction result.
- performing the second correction according to the first correction result in step S106, and obtaining the second correction result includes: performing at least two-layer brightness correction on the chromaticity-corrected image input data to obtain the brightness and chromaticity Corrected image input data; determining the brightness and chromaticity corrected image input data as the second correction result.
- the above-mentioned way of correcting the image input data is to perform single-layer chromaticity correction first, and after obtaining the chromaticity-corrected image input data, perform at least two layers of brightness correction on the chromaticity-corrected image input data ( That is, multi-layer brightness correction) to obtain the image input data after brightness and chromaticity correction, and improve the uniformity correction of the LED display screen in all grayscales.
- performing chromaticity correction on the image input data to obtain the chromaticity-corrected image input data includes: performing chromaticity correction on the image input data according to the chromaticity correction coefficient to obtain the chromaticity-corrected image input data.
- Performing at least two-layer brightness correction on the chromaticity-corrected image input data, and obtaining the brightness and chrominance-corrected image input data includes: determining the hierarchical position where the chromaticity-corrected image input data is located; obtaining the chromaticity correction according to the hierarchical position The brightness correction coefficient corresponding to the corrected image input data is corrected; the corrected image input data is corrected according to the brightness correction coefficient to obtain brightness and chromaticity corrected image input data.
- FIG. 2 is a schematic diagram of mode 1 in the method for luminance and chrominance correction according to an embodiment of the present invention.
- the Input signal ie, the image input data in the embodiment of the present application
- the chrominance Demura module is in the chrominance Demura module.
- the corrected image input data is corrected according to the brightness correction coefficient), so as to achieve the purpose of selecting the most suitable brightness correction coefficient and improve the correction effect.
- performing the first correction on the image input data in step S104, and obtaining the first correction result includes: performing at least two-layer brightness correction on the image input data to obtain the brightness-corrected image input data; The brightness-corrected image input data is determined as the first correction result.
- performing the second correction according to the first correction result in step S106, and obtaining the second correction result includes: performing chromaticity correction on the luminance-corrected image input data to obtain the luminance-chromaticity-corrected image input data; determine the image input data after luminance and chromaticity correction as the second correction result.
- the above-mentioned way of correcting the image input data is to first perform at least two layers of brightness correction (ie, multi-layer brightness correction), and after obtaining the brightness-corrected image input data, perform single-layer brightness correction on the brightness-corrected image input data.
- Layer chromaticity correction obtain the image input data after brightness and chromaticity correction, and improve the uniformity correction of the LED display in all grayscales.
- obtaining the brightness-corrected image input data includes: determining a hierarchical position where the image input data is located; obtaining a brightness correction coefficient corresponding to the image input data according to the hierarchical position; The correction coefficient corrects the image input data to obtain brightness-corrected image input data.
- Performing chromaticity correction on the luminance-corrected image input data to obtain the luminance-chromaticity-corrected image input data includes: performing chromaticity correction on the luminance-corrected image input data according to the chromaticity correction coefficient, and obtaining the luminance-chromaticity-corrected image input data data.
- FIG. 3 is a schematic diagram of the second mode in the method for brightness and chrominance correction according to an embodiment of the present invention.
- the Which two layers are between that is, the hierarchical position where the image input data is determined in the embodiment of the present application
- the brightness correction LUT that is, the brightness correction coefficient in the embodiment of the present application
- Interpolation that is, in the embodiment of the present application, the brightness correction coefficient corresponding to the image input data is obtained according to the hierarchical position, to achieve the purpose of selecting the most suitable brightness correction parameter; then enter the chromaticity Demura module, and directly multiply with the chromaticity correction coefficient Coef , that is, using a single-layer chromaticity correction parameter (that is, in the embodiment of the present application, the image input data is corrected according to the luminance correction coefficient, and the corrected image input data is obtained; the corrected image input data is obtained according to the chromaticity correction coefficient; The data is corrected to obtain the image input data after brightness and chrominance correction).
- an appropriate luminance correction coefficient can be selected according to the grayscale value of the image input data, while the chromaticity correction coefficient is only related to the location where the chromaticity information is collected.
- the acquisition process of the luminance correction coefficient and the chromaticity correction coefficient in the method for luminance and chromaticity correction provided by the embodiment of the present application is as follows:
- the method for luminance and chromaticity correction provided by the embodiment of the present application further includes: collecting image input data by an image collecting device to obtain luminance measurement values of at least two levels; Fitting the measured value of brightness to obtain the brightness fitting curve; set the calibration target curve according to the brightness fitting curve and the effect of the calibration target; obtain the grayscale mapping correction value according to the calibration target curve; obtain the grayscale mapping correction value according to the grayscale mapping correction value Brightness correction coefficient: By performing segmental brightness fitting according to the brightness measurement values of different levels, the fitting curve is obtained, so that the correction target curve can be effectively obtained, so as to obtain the optimal brightness correction coefficient and improve the correction effect.
- the image acquisition device may be an area scan camera with an XYZ color filter wheel; in the acquisition process, the image input obtained by using an area scan camera with an XYZ color filter wheel to shoot the LED display screen may be used data, it should be noted that, in the embodiment of the present application, the image acquisition device is not limited to the area scan camera of the XYZ color filter wheel;
- the method for brightness and chromaticity correction provided by the embodiment of the present application only collects several layers of the three primary colors of RGB, covering low gray, medium gray and high gray.
- Gray [32, 64, 128, 192, 255] under Gamma, these 5 grayscales are sufficient. Since the acquisition is performed from low gray to high gray, the collected features are more obvious.
- FIG. 4 is a schematic diagram of the implementation of brightness correction in the method for brightness and chromaticity correction according to an embodiment of the present invention.
- the method for brightness and chromaticity correction provided by the embodiment of the present application uses a color filter with an XYZ color filter wheel.
- the area scan camera shoots the LED display, all layers need to collect the luminance Y filter image, select a layer as the chromaticity layer, and additionally collect the X and Z filter images for backup.
- the grayscale mapping correction value is calculated. For example, if you want to display 200 grayscale brightness, you can send 210 grayscale for the light point. In order to save storage resources and reduce transmission bandwidth, the correction coefficient corresponding to the 200 grayscale of the light point may be recorded as +10.
- the brightness correction coefficients of several layers on the LED display screen can be obtained point by point, so that the brightness of the LED display screen after brightness correction can be uniform.
- the method for calibrating brightness and chromaticity further includes: collecting image input data through an image acquisition device to obtain the brightness and chromaticity of each lamp point of the selected chromaticity layer Measured value; convert the measured value of brightness and chromaticity to obtain the measured value of brightness and chromaticity after conversion; adjust the brightness value in the measured value of brightness and chromaticity of each light point according to the brightness value of the public calibration target of the specified layer in brightness calibration; Perform inverse conversion according to the adjusted luminance value and the chromaticity information in the luminance and chromaticity measurement values to obtain tristimulus values; obtain chromaticity correction coefficients according to the tristimulus values and the target value.
- the brightness and chrominance correction method provided by the embodiment of the present application performs a brightness uniformity adjustment on the image input data.
- the method for brightness and chromaticity correction provided by the embodiment of the present application is described by taking one-layer chromaticity correction as an example to realize the bright color provided by the embodiment of the present application.
- the method of calibration shall prevail, and there is no specific limitation.
- the brightness and chromaticity correction method provided by the embodiment of the present application can conform to the visual perception characteristics of the human eye by using the single-layer chromaticity correction method, and can reduce the amount of data storage without losing precision.
- Step 1 For each light point of the chromaticity layer selected in the brightness correction section, use the collected light and chromaticity measurement value XYZ data of the light point to complete the XYZ to Lxy conversion according to the following formula, where XYZ is the tristimulus value, L Represents brightness, xy represents color coordinates;
- Step 2 Adjust the brightness uniformity. Use the common correction target brightness value of the layer in the brightness correction to adjust the measured brightness value L of all light points, while retaining the chromaticity information xy; you can also multiply the target brightness value by a global value. Ratio to adjust.
- Step 3 Inversely convert the data processed in Step 2 into XYZ data according to the formula in Step 1, and calculate the chromaticity correction coefficient according to the following formula.
- Coef represents the correction coefficient
- Measured represents the collected tristimulus value
- Target represents the selected target value.
- an area array industrial camera with an XYZ color filter wheel is used to collect an image of a single-layer LED display screen, and the point-by-point RGB three primary color tristimulus values XYZ are extracted, a common target value is selected, and then according to the above step 3 The formula to get the chromaticity correction coefficient.
- the brightness and chromaticity correction method no longer depends on the LED brightness linearity, and the correction uniformity is simultaneously improved regardless of low gray, medium gray or high gray.
- the embodiment of the present invention by acquiring image input data; performing a first correction on the image input data to obtain a first correction result; performing a second correction according to the first correction result to obtain a second correction result; wherein the first correction is One of the multi-layer brightness correction and at least one layer of chromaticity correction, and the second correction is the other of the multi-layer brightness correction and at least one layer of chromaticity correction, to achieve the purpose of effectively improving the quality of LED correction, so as to achieve
- the technical problem that the prior art still cannot effectively improve the display uniformity of different grayscales when solving the difference in brightness and chromaticity is solved.
- FIG. 6 is a schematic diagram of a brightness and chromaticity correction device according to an embodiment of the present invention.
- the correction device includes: an acquisition module 62 for acquiring image input data; a first correction module 64 for performing a first correction on the image input data to obtain a first correction result; a second correction module 66 for The correction result is subjected to a second correction to obtain a second correction result; wherein, the first correction is one of multi-layer brightness correction and at least one layer of chromaticity correction, and the second correction is multi-layer brightness correction and at least one layer of color correction the other of the degree corrections.
- the first correction module 64 includes: a first correction unit for performing chromaticity correction on the image input data according to the chromaticity correction coefficient to obtain the chromaticity-corrected image input data; a first determination unit for The chromaticity-corrected image input data is determined as the first correction result.
- the second correction module 66 includes: a first position determination unit for determining the hierarchical position where the chromaticity-corrected image input data is located; a first coefficient acquisition unit for acquiring the color according to the hierarchical position brightness correction coefficient corresponding to the image input data after brightness correction; a second correction unit, used for correcting the corrected image input data according to the brightness correction coefficient, to obtain the image input data after brightness and chromaticity correction; a second determination unit, with and determining the luminance and chrominance corrected image input data as the second correction result.
- the first correction module 64 includes: a second position determination unit for determining the hierarchical position where the image input data is located; a second coefficient acquisition unit for acquiring brightness correction coefficients corresponding to the image input data according to the hierarchical position;
- the third correcting unit is used for correcting the image input data according to the brightness correction coefficient to obtain the brightness-corrected image input data;
- the third determining unit is used for determining the brightness-corrected image input data as the first correction result.
- the second correction module 66 includes: a fourth correction unit, configured to perform chromaticity correction on the luminance-corrected image input data according to the chromaticity correction coefficient to obtain the luminance-chromaticity-corrected image input data; 4. A determining unit, configured to determine the luminance and chrominance corrected image input data as the second correction result.
- the brightness and chromaticity correction device further includes: a first acquisition module, configured to acquire image input data through the image acquisition device to obtain at least two levels of brightness measurement values; a fitting module, It is used to perform fitting according to the brightness measurement values of at least two levels to obtain the brightness fitting curve; the setting module is used to set the calibration target curve according to the brightness fitting curve and the calibration target effect; the digital acquisition module is used to set the calibration target curve according to the The calibration target curve obtains the mapping correction value of the gray scale; the brightness correction coefficient obtaining unit is used to obtain the brightness correction coefficient according to the mapping correction value of the gray scale; the fitting curve is obtained by performing segmental brightness fitting according to the brightness measurement values of different levels , so that the correction target curve can be effectively obtained, so as to obtain the optimal brightness correction coefficient and improve the correction effect.
- a first acquisition module configured to acquire image input data through the image acquisition device to obtain at least two levels of brightness measurement values
- a fitting module It is used to perform fitting according to the brightness measurement values of at least two levels to obtain the brightness fitting curve
- the device for brightness and chromaticity correction further includes: a second acquisition module, configured to collect the image input data through the image acquisition device to obtain the brightness of each light point of the selected chromaticity layer.
- the first conversion module is used to convert the measured value of brightness and chromaticity to obtain the measured value of brightness and chromaticity after the conversion;
- the brightness value in the brightness and chromaticity measurement values of the point is adjusted;
- the second conversion module is used for inverse conversion according to the adjusted brightness value and the chromaticity information in the brightness and chromaticity measurement values, so as to obtain tristimulus values;
- the chromaticity correction coefficient is obtained The unit is used to obtain the chromaticity correction coefficient according to the tristimulus value and the target value.
- a non-volatile storage medium is also provided, wherein the non-volatile storage medium includes a stored program, wherein when the program runs, a device where the non-volatile storage medium is located is controlled.
- a processor is also provided, wherein the processor is used to run a program, wherein the method in the foregoing Embodiment 1 is executed when the program runs.
- the disclosed technical content can be implemented in other ways.
- the device embodiments described above are only illustrative, for example, the division of the units may be a logical function division, and there may be other division methods in actual implementation, for example, multiple units or components may be combined or Integration into another system, or some features can be ignored, or not implemented.
- the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of units or modules, and may be in electrical or other forms.
- the units described as separate components may or may not be physically separated, and components shown as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution in this embodiment.
- each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically alone, or two or more units may be integrated into one unit.
- the above-mentioned integrated units may be implemented in the form of hardware, or may be implemented in the form of software functional units.
- the integrated unit if implemented in the form of a software functional unit and sold or used as an independent product, may be stored in a computer-readable storage medium.
- the technical solution of the present invention is essentially or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium , including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention.
- the aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes .
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Abstract
一种亮色度校正的方法和装置。其中，该方法包括：获取图像输入数据（S102）；对图像输入数据进行第一校正，得到第一校正结果（S104）；根据第一校正结果进行第二校正，得到第二校正结果；其中，第一校正是多层亮度校正和至少一层色度校正中之一者，第二校正是多层亮度校正和至少一层色度校正中之另一者（S106）。该方法解决了由于现有技术在解决亮色度差异时，仍无法有效提升不同灰阶的显示均匀性的技术问题。
Description
本发明涉及图像处理技术领域，具体而言，涉及一种亮色度校正的方法和装置。
LED显示屏由于其灯点制作、分选、封装等工艺限制，出厂时普遍存在逐点的亮色度差异，带来不均匀的显示效果。因此，LED显示屏的逐点非均匀性校正成为提升显示质量的必不可少环节。目前，多数LED显示屏的亮度控制主要靠PWM实现，常见的校正方法是采集某一灰阶下的LED屏灯点亮度数据，生成对应的校正系数，即PWM补偿比例。之后，将校正系数应用于所有的显示灰阶。
相关技术中对于普通亮色度校正，依赖于LED亮度线性度，若LED亮度线性度不佳，则校正后不同灰阶段的视觉均匀性不佳；并且由于LED驱动技术从PM向AM驱动转变，LED非线性问题越来越明显，不同灰阶段的Mura(在同一光源且相同底色之画面一红绿灯视觉感受到不同程度的颜色差异，即，图像的不均匀)差异很大，现有技术无法适应这类应用场景。
针对上述由于现有技术在解决亮色度差异时，仍无法有效提升不同灰阶的显示均匀性的问题，目前尚未提出有效的解决方案。
发明内容
本发明实施例提供了一种亮色度校正的方法和装置，以至少解决由于现有技术在解决亮色度差异时，仍无法有效提升不同灰阶的显示均匀性的技术问题。
根据本发明实施例的一个方面，提供了一种亮色度校正的方法，包括：获取图像输入数据；对图像输入数据进行第一校正，得到第一校正结果；根据第一校正结果进行第二校正，得到第二校正结果；其中，第一校正是多层亮度校正和至少一层色度校正中之一者，第二校正是多层亮度校正和至少一层色度校正中之另一者。
可选的，对图像输入数据进行第一校正，得到第一校正结果包括：依据色度校正系数对图像输入数据进行色度校正，得到色度校正后的图像输入数据；将色度校正后的图像输入数据确定为第一校正结果。
进一步地，可选的，根据第一校正结果进行第二校正，得到第二校正结果包括：确定色度校正后的图像输入数据所处的层级位置；依据层级位置获取色度校正后的图像输入数据对应的亮度校正系数；依据亮度校正系数对校正后的图像输入数据进行校正，得到亮色度校正后的图像输入数据；将亮色度校正后的图像输入数据确定为第二校正结果；在一种可实现的方式中，通过先进行色度校正，再进行多层亮度校正，提升LED显示屏在所有灰阶的均匀性校正。
可选的，对图像输入数据进行第一校正，得到第一校正结果包括：确定图像输入数据所处的层级位置；依据层级位置获取图像输入数据对应的亮度校正系数；依据亮度校正系数对图像输入数据进行校正，得到亮度校正后的图像输入数据；将亮度校正后的图像输入数据确定为第一校正结果。
进一步地，可选的，根据第一校正结果进行第二校正，得到第二校正结果包括：依据色度校正系数对亮度校正后的图像输入数据进行色度校正，得到亮色度校正后的图像输入数据；将亮色度校正后的图像输入数据确定为第二校正结果；在一种可实现的方式中，通过先进行多层亮度校正，再进行色度校正，提升LED显示屏在所有灰阶的均匀性校正。
可选的，该方法还包括：通过图像采集装置对图像输入数据进行采集，得到至少两个层级的亮度测量值；依据至少两个层级的亮度测量值进行拟合，得到亮度拟合曲线；依据亮度拟合曲线和校正目标效果，设定校正目标曲线；依据校正目标曲线获取灰阶的映射修正值；依据灰阶的映射修正值得到亮度校正系数；通过按照不同层级的亮度测量值进行分段亮度拟合，得到拟合曲线，以使得有效得到校正目标曲线，从而获取最优的亮度校正系数，提升校正效果。
可选的，该方法还包括：通过图像采集装置对图像输入数据进行采集，得到选定的色度层的每个灯点的亮色度测量值；对亮色度测量值进行转换，得到转换后的亮色度测量值；依据亮度校正中指定层的公共校正目标亮度值，对每个灯点的亮色度测量值中的亮度值进行调整；依据调整后的亮度值和亮色度测量值中的色度信息进行逆转换，得到三刺激值；依据三刺激值和目标值获取色度校正系数。
根据本发明实施例的一个方面，提供了一种亮色度校正的装置，包括：获取模块，用于获取图像输入数据；第一校正模块，用于对图像输入数据进行第一校正，得到第一校正结果；第二校正模块，用于根据第一校正结果进行第二校正，得到第二校正结果；其中，其中，第一校正是多层亮度校正和至少一层色度校正中之一者，第二校正是多层亮度校正和至少一层色度校正中之另一者。
可选的，第一校正模块包括：第一校正单元，用于依据色度校正系数对图像输入数据进行色度校正，得到色度校正后的图像输入数据；第一确定单元，用于将色度校正后的图像输入数据确定为第一校正结果。
进一步地，可选的，第二校正模块包括：第一位置确定单元，用于确定色度校正后的图像输入数据所处的层级位置；第一系数获取单元，用于依据层级位置获取色度校正后的图像输入数据对应的亮度校正系数；第二校正单元，用于依据亮度校正系数对校正后的图像输入数据进行校正，得到亮色度校正后的图像输入数据；第二确定单元，用于将亮色度校正后的图像输入数据确定为第二校正结果。
可选的，第一校正模块包括：第二位置确定单元，用于确定图像输入数据所处的层级位置；第二系数获取单元，用于依据层级位置获取图像输入数据对应的亮度校正系数；第三校正单元，用于依据亮度校正系数对图像输入数据进行校正，得到亮度校正后的图像输入数据；第三确定单元，用于将亮度校正后的图像输入数据确定为第一校正结果。
进一步地，可选的，第二校正模块包括：第四校正单元，用于依据色度校正系数对亮度校正后的图像输入数据进行色度校正，得到亮色度校正后的图像输入数据；第四确定单元，用于将亮色度校正后的图像输入数据确定为第二校正结果。
可选的，该装置还包括：第一采集模块，用于通过图像采集装置对图像输入数据进行采集，得到至少两个层级的亮度测量值；拟合模块，用于依据至少两个层级的亮度测量值进行拟合，得到亮度拟合曲线；设定模块，用于依据亮度拟合曲线和校正目标效果，设定校正目标曲线；数字获取模块，用于依据校正目标曲线获取灰阶的映射修正值；亮度校正系数获取单元，用于依据灰阶的映射修正值得到亮度校正系数，通过按照不同层级的亮度测量值进行分段亮度拟合，得到拟合曲线，以使得有效得到校正目标曲线，从而获取最优的亮度校正系数，提升校正效果。
可选的，该装置还包括：第二采集模块，用于通过图像采集装置对图像输入数据进行采集，得到选定的色度层的每个灯点的亮色度测量值；第一转换模块，用于对亮色度测量值进行转换，得到转换后的亮色度测量值；调整模块，用于依据亮度校正中指定层的公共校正目标亮度值，对每个灯点的亮色度测量值中的亮度值进行调整；第二转换模块，用于依据调整后的亮度值和亮色度测量值中的色度信息进行逆转换，得到三刺激值；色度校正系数获取单元，用于依据三刺激值和目标值获取色度校正系数。
根据本发明实施例的一个方面，提供了一种非易失性存储介质，其中，非易失性存储介质包括存储的程序，其中，在程序运行时控制非易失性存储介质所在设备执行 上述方法。
根据本发明实施例的一个方面，提供了一种处理器，其中，处理器用于运行程序，其中，程序运行时执行上述方法。
在本发明实施例中，通过获取图像输入数据；对图像输入数据进行第一校正，得到第一校正结果；根据第一校正结果进行第二校正，得到第二校正结果；其中，第一校正是多层亮度校正和至少一层色度校正中之一者，第二校正是多层亮度校正和至少一层色度校正中之另一者，达到了有效提升LED校正的质量的目的，从而实现了提升LED显示屏在所有灰阶的均匀性校正的技术效果，进而解决了由于现有技术在解决亮色度差异时，仍无法有效提升不同灰阶的显示均匀性的技术问题。
此处所说明的附图用来提供对本发明的进一步理解，构成本申请的一部分，本发明的示意性实施例及其说明用于解释本发明，并不构成对本发明的不当限定。在附图中：
图1是根据本发明实施例的亮色度校正的方法的流程示意图；
图2是根据本发明实施例的亮色度校正的方法中方式一的示意图；
图3是根据本发明实施例的亮色度校正的方法中方式二的示意图；
图4是根据本发明实施例的亮色度校正的方法中亮度校正实现的示意图；
图5是根据本发明实施例的亮色度校正的方法中拟合曲线和校正目标曲线的示意图；
图6是根据本发明实施例的亮色度校正的装置的示意图。
为了使本技术领域的人员更好地理解本发明方案，下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分的实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都应当属于本发明保护的范围。
需要说明的是，本发明的说明书和权利要求书及上述附图中的术语“第一”、“第二”等是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。应该理解这 样使用的数据在适当情况下可以互换，以便这里描述的本发明的实施例能够以除了在这里图示或描述的那些以外的顺序实施。此外，术语“包括”和“具有”以及他们的任何变形，意图在于覆盖不排他的包含，例如，包含了一系列步骤或单元的过程、方法、系统、产品或设备不必限于清楚地列出的那些步骤或单元，而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。
实施例1
根据本发明实施例，提供了一种亮色度校正的方法的方法实施例，需要说明的是，在附图的流程图示出的步骤可以在诸如一组计算机可执行指令的计算机系统中执行，并且，虽然在流程图中示出了逻辑顺序，但是在某些情况下，可以以不同于此处的顺序执行所示出或描述的步骤。
图1是根据本发明实施例的亮色度校正的方法的流程示意图，如图1所示，该方法包括如下步骤：
步骤S102，获取图像输入数据；
步骤S104，对图像输入数据进行第一校正，得到第一校正结果；
步骤S106，根据第一校正结果进行第二校正，得到第二校正结果；
其中，第一校正是多层亮度校正和至少一层色度校正中之一者，第二校正是多层亮度校正和至少一层色度校正中之另一者。
具体的，在本申请实施例中多层亮度校正可以为至少两层亮度校正，在实现上，通过多个灰度层中的亮度校正系数进行校正，并且此处所述的灰度层指的是灰阶，例如当一个显示屏可以显示的灰阶为0-255时，则表明该显示屏可以显示256个灰阶的数据，即256灰度层；
同理，在本申请实施例中至少一层色度校正以单层色度校正为例进行说明，由于LED显示屏的色度Mura在不同灰度层基本一致，相对于不同层之间的亮度Mura差异可以忽略，并且人眼的视觉特点是对亮度的差异更敏感。因此，使用单层的色度校正方法能够符合人眼视觉感知特性，可以在不损失精度的情况下减少数据存储量；需要说明的是，本申请实施例也可以采用多层色度校正，此处并不以单层为限。
综上，结合步骤S102至步骤S106，本申请实施例提供的亮色度校正的方法可以结合多层校正方法，即，多层亮度校正与至少一层色度校正相结合的方法。本申请实施例提供的亮色度校正的方法适用于PM驱动和AM驱动方式的LED显示屏，不依赖于LED亮度线性度，可以使校正后不同灰阶的显示均匀性同时得到提升。
其中，PM驱动：无源选址驱动，Passive Matrix，又称无源寻址、被动寻址、无源驱动等；
AM驱动：有源选址驱动，Active Matrix，又称有源寻址、主动寻址、有源驱动等。
本申请实施例提供的亮色度校正的方法使用多层校正的方式对LED亮色度均匀性进行校正，能够很大程度的提升所有灰阶的均匀性。为了减少存储数据量并保证校正精度，本申请实施例提供的亮色度校正的方法将校正数据分为亮度校正和色度校正两部分，并且采用存储多层亮度校正数据和单层色度校正数据的方案。在显示时，实时地依据Input的情况选择最合适的亮度校正系数和色度校正系数，来提升校正的效果。
具体的，本申请实施例提供的亮色度校正的方法中基于亮度校正系数和色度校正系数相结合的方式包括如下两种：
方式一：单层色度校正数据和多层亮度校正数据相结合
在一种可选的实现方式中，步骤S104中对图像输入数据进行第一校正，得到第一校正结果包括：对图像输入数据进行色度校正，得到色度校正后的图像输入数据；将色度校正后的图像输入数据确定为第一校正结果。
在一种可选的实现方式中，步骤S106中根据第一校正结果进行第二校正，得到第二校正结果包括：对色度校正后的图像输入数据进行至少两层的亮度校正，得到亮色度校正后的图像输入数据；将亮色度校正后的图像输入数据确定为第二校正结果。
其中，上述对图像输入数据进行校正的方式为先进行单层色度校正，在得到色度校正后的图像输入数据后，对该色度校正后的图像输入数据进行至少两层的亮度校正(即，多层亮度校正)，得到亮色度校正后的图像输入数据，提升LED显示屏在所有灰阶的均匀性校正。
具体的，对图像输入数据进行色度校正，得到色度校正后的图像输入数据包括：依据色度校正系数对图像输入数据进行色度校正，得到色度校正后的图像输入数据。
对色度校正后的图像输入数据进行至少两层的亮度校正，得到亮色度校正后的图像输入数据包括：确定色度校正后的图像输入数据所处的层级位置；依据层级位置获取色度校正后的图像输入数据对应的亮度校正系数；依据亮度校正系数对校正后的图像输入数据进行校正，得到亮色度校正后的图像输入数据。
如图2所示，图2是根据本发明实施例的亮色度校正的方法中方式一的示意图，在校正时，Input信号(即，本申请实施例中的图像输入数据)在色度Demura模块， 直接与色度校正系数Coef相乘，之后进入亮度校正模块，实时的判断其介于哪两个Layer(即，本申请实施例中确定校正后的图像输入数据所处的层级位置)之间，并根据这两个Layer的亮度校正LUT(即，本申请实施例中的亮度校正系数)进行插值(即，本申请实施例中依据层级位置获取校正后的图像输入数据对应的亮度校正系数；依据亮度校正系数对校正后的图像输入数据进行校正)，达到选择最合适的亮度校正系数的目的，提升校正的效果。
方式二：多层亮度校正数据和单层色度校正数据相结合
在一种可选的实现方式中，步骤S104中对图像输入数据进行第一校正，得到第一校正结果包括：对图像输入数据进行至少两层的亮度校正，得到亮度校正后的图像输入数据；将亮度校正后的图像输入数据确定为第一校正结果。
在一种可选的实现方式中，步骤S106中根据第一校正结果进行第二校正，得到第二校正结果包括：对亮度校正后的图像输入数据进行色度校正，得到亮色度校正后的图像输入数据；将亮色度校正后的图像输入数据确定为第二校正结果。
其中，上述对图像输入数据进行校正的方式为先进行至少两层亮度校正(即，多层亮度校正)，在得到亮度校正后的图像输入数据后，对该亮度校正后的图像输入数据进行单层色度校正，得到亮色度校正后的图像输入数据，提升LED显示屏在所有灰阶的均匀性校正。
具体的，对图像输入数据进行至少两层的亮度校正，得到亮度校正后的图像输入数据包括：确定图像输入数据所处的层级位置；依据层级位置获取图像输入数据对应的亮度校正系数；依据亮度校正系数对图像输入数据进行校正，得到亮度校正后的图像输入数据。
对亮度校正后的图像输入数据进行色度校正，得到亮色度校正后的图像输入数据包括：依据色度校正系数对亮度校正后的图像输入数据进行色度校正，得到亮色度校正后的图像输入数据。
如图3所示，图3是根据本发明实施例的亮色度校正的方法中方式二的示意图，在校正时，根据Input信号(即，本申请实施例中的图像输入数据)实时的判断其介于哪两个Layer之间(即，本申请实施例中确定图像输入数据所处的层级位置)，并根据这两个Layer的亮度校正LUT(即，本申请实施例中亮度校正系数)进行插值(即，本申请实施例中依据层级位置获取图像输入数据对应的亮度校正系数)，达到选择最合适的亮度校正参数的目的；之后进入色度Demura模块，直接与色度校正系数Coef相乘，即使用了单层的色度校正参数(即，本申请实施例中的依据亮度校正系数对图像 输入数据进行校正，得到校正后的图像输入数据；依据色度校正系数对校正后的图像输入数据进行校正，得到亮色度校正后的图像输入数据)。
需要说明的是，在实时处理的时候，可以根据图像输入数据的灰度值选择合适的亮度校正系数，而色度校正系数只和色度信息采集位置相关。
基于上述，本申请实施例提供的亮色度校正的方法中亮度校正系数和色度校正系数的获取过程具体如下：
一、获取亮度校正系数的过程：
在一种可选的实现方式中，本申请实施例提供的亮色度校正的方法还包括：通过图像采集装置对图像输入数据进行采集，得到至少两个层级的亮度测量值；依据至少两个层级的亮度测量值进行拟合，得到亮度拟合曲线；依据亮度拟合曲线和校正目标效果，设定校正目标曲线；依据校正目标曲线获取灰阶的映射修正值；依据灰阶的映射修正值得到亮度校正系数；通过按照不同层级的亮度测量值进行分段亮度拟合，得到拟合曲线，以使得有效得到校正目标曲线，从而获取最优的亮度校正系数，提升校正效果。
其中，本申请实施例中图像采集装置可以为使用带有XYZ滤色轮的面阵相机；在采集的过程中可以为使用带有XYZ滤色轮的面阵相机拍摄LED显示屏得到的图像输入数据，需要说明的是，在本申请实施例中，图像采集装置并不以XYZ滤色轮的面阵相机为限；
在一种优选的实现方式中，本申请实施例提供的亮色度校正的方法为了提升效率并降低存储资源，只采集RGB三基色的若干Layer，覆盖低灰、中灰和高灰，例如采集某一标准显示Gamma下的Gray＝[32,64,128,192,255]这5个灰阶即可，由于从低灰到高灰都进行采集，使得采集的特征更加明显。
具体的，图4是根据本发明实施例的亮色度校正的方法中亮度校正实现的示意图，如图4所示，本申请实施例提供的亮色度校正的方法通过使用带有XYZ滤色轮的面阵相机拍摄LED显示屏，所有Layer都需要采集亮度Y滤片图像，选定某一Layer作为色度层，额外采集X和Z滤片图像备用。同时使用光枪对屏上某一区域的测量值与面阵相机对该区域的测量值进行标定，可以得到LED显示屏上逐点的亮度测量值Y，或亮色度测量值XYZ。
对于某一灯点，使用上述5个Layer的亮度Y数据(即，本申请实施例中的至少两个层级的亮度测量值)，使用线性插值、多项式拟合、指数函数拟合等方法，拟合出该灯点的分段Gamma曲线(即，本申请实施例中的依据至少两个层级的亮度测量值进行 拟合，得到亮度拟合曲线)，如图5所示，图5是根据本发明实施例的亮色度校正的方法中拟合曲线和校正目标曲线的示意图，其中，虚线表示该灯点的拟合Gamma曲线。
根据校正目标效果的要求，设定校正目标Gamma曲线，如图5中黑色曲线所示。
根据校正目标Gamma曲线，计算灰阶的映射修正值。例如想要显示200的灰阶亮度，对于该灯点则发送210灰阶即可。为了节省存储资源，降低传输带宽，可以将该灯点200灰阶对应的校正系数记为+10。
以此类推，使用公共的目标Gamma曲线，可以得到LED显示屏上逐点的若干Layer的亮度校正系数，使经过亮度校正的LED显示屏亮度均匀。
二、获取色度校正系数的过程：
在一种可选的实现方式中，本申请实施例提供的亮色度校正的方法还包括：通过图像采集装置对图像输入数据进行采集，得到选定的色度层的每个灯点的亮色度测量值；对亮色度测量值进行转换，得到转换后的亮色度测量值；依据亮度校正中指定层的公共校正目标亮度值，对每个灯点的亮色度测量值中的亮度值进行调整；依据调整后的亮度值和亮色度测量值中的色度信息进行逆转换，得到三刺激值；依据三刺激值和目标值获取色度校正系数。
其中，本申请实施例提供的亮色度校正的方法对图像输入数据进行一次亮度均匀性调整。同时，为了减少存储数据量并保证校正精度，符合人眼的感知特性，本申请实施例提供的亮色度校正的方法以一层色度校正为例进行说明，以实现本申请实施例提供的亮色度校正的方法为准，具体不做限定。
由于LED显示屏的色度Mura在不同灰度层基本一致，相对于不同层之间的亮度Mura差异可以忽略，并且人眼的视觉特点是对亮度的差异更敏感。因此，本申请实施例提供的亮色度校正的方法使用单层的色度校正方法能够符合人眼视觉感知特性，可以在不损失精度的情况下减少数据存储量。
获取色度校正系数的过程具体如下：
步骤一，对于亮度校正部分中选定的色度层的每个灯点，使用采集的灯点的亮色度测量值XYZ数据，按照如下公式完成XYZ到Lxy转换，其中XYZ为三刺激值，L表示亮度，xy表示色坐标；
L＝Y
步骤二，亮度均匀性调整，使用亮度校正中该层的公共校正目标亮度值，调整所有灯点的测量亮度值L，同时保留色度信息xy；也可以按照该目标亮度值乘以一个全局的Ratio进行调整。
步骤三，将经过步骤二处理的数据按照步骤一公式逆转换为XYZ数据，并按照如下公式计算得到色度校正系数。
Coef×Measured＝Target
其中，Coef表示校正系数，Measured表示采集的三刺激值，Target表示选取的目标值。
具体的，使用带有XYZ滤色轮的面阵式工业相机采集单Layer的LED显示屏图像，提取逐点的RGB三基色三刺激值XYZ，选取一个公共的目标值，进而依据上述步骤三中的公式得到色度校正系数。
基于上述，本申请实施例提供的亮色度校正的方法不再依赖于LED亮度线性度，不论低灰、中灰还是高灰，校正均匀性得到同步提升。在本发明实施例中，通过获取图像输入数据；对图像输入数据进行第一校正，得到第一校正结果；根据第一校正结果进行第二校正，得到第二校正结果；其中，第一校正是多层亮度校正和至少一层色度校正中之一者，第二校正是多层亮度校正和至少一层色度校正中之另一者，达到了有效提升LED校正的质量的目的，从而实现了提升LED显示屏在所有灰阶的均匀性校正的技术效果，进而解决了由于现有技术在解决亮色度差异时，仍无法有效提升不同灰阶的显示均匀性的技术问题。
实施例2
根据本发明实施例，提供了一种亮色度校正的装置的实施例，图6是根据本发明实施例的亮色度校正的装置的示意图，如图6所示，本申请实施例提供的亮色度校正的装置包括：获取模块62，用于获取图像输入数据；第一校正模块64，用于对图像输入数据进行第一校正，得到第一校正结果；第二校正模块66，用于根据第一校正结果进行第二校正，得到第二校正结果；其中，其中，第一校正是多层亮度校正和至少一层色度校正中之一者，第二校正是多层亮度校正和至少一层色度校正中之另一者。
可选的，第一校正模块64包括：第一校正单元，用于依据色度校正系数对图像输入数据进行色度校正，得到色度校正后的图像输入数据；第一确定单元，用于将色度校正后的图像输入数据确定为第一校正结果。
进一步地，可选的，第二校正模块66包括：第一位置确定单元，用于确定色度校正后的图像输入数据所处的层级位置；第一系数获取单元，用于依据层级位置获取色度校正后的图像输入数据对应的亮度校正系数；第二校正单元，用于依据亮度校正系数对校正后的图像输入数据进行校正，得到亮色度校正后的图像输入数据；第二确定单元，用于将亮色度校正后的图像输入数据确定为第二校正结果。
可选的，第一校正模块64包括：第二位置确定单元，用于确定图像输入数据所处的层级位置；第二系数获取单元，用于依据层级位置获取图像输入数据对应的亮度校正系数；第三校正单元，用于依据亮度校正系数对图像输入数据进行校正，得到亮度校正后的图像输入数据；第三确定单元，用于将亮度校正后的图像输入数据确定为第一校正结果。
进一步地，可选的，第二校正模块66包括：第四校正单元，用于依据色度校正系数对亮度校正后的图像输入数据进行色度校正，得到亮色度校正后的图像输入数据；第四确定单元，用于将亮色度校正后的图像输入数据确定为第二校正结果。
可选的，本申请实施例提供的亮色度校正的装置还包括：第一采集模块，用于通过图像采集装置对图像输入数据进行采集，得到至少两个层级的亮度测量值；拟合模块，用于依据至少两个层级的亮度测量值进行拟合，得到亮度拟合曲线；设定模块，用于依据亮度拟合曲线和校正目标效果，设定校正目标曲线；数字获取模块，用于依据校正目标曲线获取灰阶的映射修正值；亮度校正系数获取单元，用于依据灰阶的映射修正值得到亮度校正系数；通过按照不同层级的亮度测量值进行分段亮度拟合，得到拟合曲线，以使得有效得到校正目标曲线，从而获取最优的亮度校正系数，提升校正效果。
可选的，本申请实施例提供的亮色度校正的装置还包括：第二采集模块，用于通过图像采集装置对图像输入数据进行采集，得到选定的色度层的每个灯点的亮色度测量值；第一转换模块，用于对亮色度测量值进行转换，得到转换后的亮色度测量值；调整模块，用于依据亮度校正中指定层的公共校正目标亮度值，对每个灯点的亮色度测量值中的亮度值进行调整；第二转换模块，用于依据调整后的亮度值和亮色度测量值中的色度信息进行逆转换，得到三刺激值；色度校正系数获取单元，用于依据三刺激值和目标值获取色度校正系数。
呈上述，该亮色度校正的装置的具体工作原理与上述实施例1中的方法相同，具体可参考上述实施例1的相关描述，此处不再赘述。
实施例3
根据本发明实施例的又一方面，还提供了一种非易失性存储介质，其中，非易失性存储介质包括存储的程序，其中，在程序运行时控制非易失性存储介质所在设备执行上述实施例1中的方法。
实施例4
根据本发明实施例的又一方面，还提供了一种处理器，其中，处理器用于运行程序，其中，程序运行时执行上述实施例1中的方法。
上述本发明实施例序号仅仅为了描述，不代表实施例的优劣。
在本发明的上述实施例中，对各个实施例的描述都各有侧重，某个实施例中没有详述的部分，可以参见其他实施例的相关描述。
在本申请所提供的几个实施例中，应该理解到，所揭露的技术内容，可通过其它的方式实现。其中，以上所描述的装置实施例仅仅是示意性的，例如所述单元的划分，可以为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，单元或模块的间接耦合或通信连接，可以是电性或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本发明各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本发明的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可为个人计算机、服务器或者网络设备等)执行本发明各个实施例所 述方法的全部或部分步骤。而前述的存储介质包括：U盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、移动硬盘、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述仅是本发明的优选实施方式，应当指出，对于本技术领域的普通技术人员来说，在不脱离本发明原理的前提下，还可以做出若干改进和润饰，这些改进和润饰也应视为本发明的保护范围。
Claims (16)
- 一种亮色度校正的方法，其特征在于，包括：获取图像输入数据；对所述图像输入数据进行第一校正，得到第一校正结果；根据所述第一校正结果进行第二校正，得到第二校正结果；其中，所述第一校正是多层亮度校正和至少一层色度校正中之一者，所述第二校正是多层亮度校正和至少一层色度校正中之另一者。
- 根据权利要求1所述的方法，其特征在于，所述对所述图像输入数据进行第一校正，得到第一校正结果包括：依据色度校正系数对所述图像输入数据进行色度校正，得到色度校正后的图像输入数据；将所述色度校正后的图像输入数据确定为所述第一校正结果。
- 根据权利要求2所述的方法，其特征在于，所述根据所述第一校正结果进行第二校正，得到第二校正结果包括：确定所述色度校正后的所述图像输入数据所处的层级位置；依据所述层级位置获取所述色度校正后的所述图像输入数据对应的亮度校正系数；依据所述亮度校正系数对校正后的所述图像输入数据进行校正，得到亮色度校正后的图像输入数据；将所述亮色度校正后的图像输入数据确定为所述第二校正结果。
- 根据权利要求1所述的方法，其特征在于，所述对所述图像输入数据进行第一校正，得到第一校正结果包括：确定所述图像输入数据所处的层级位置；依据所述层级位置获取所述图像输入数据对应的亮度校正系数；依据所述亮度校正系数对所述图像输入数据进行校正，得到亮度校正后的图像输入数据；将所述亮度校正后的图像输入数据确定为所述第一校正结果。
- 根据权利要求4所述的方法，其特征在于，所述根据所述第一校正结果进行第二校正，得到第二校正结果包括：依据色度校正系数对所述亮度校正后的图像输入数据进行色度校正，得到亮色度校正后的图像输入数据；将所述亮色度校正后的图像输入数据确定为所述第二校正结果。
- 根据权利要求3或4所述的方法，其特征在于，所述方法还包括：通过图像采集装置对所述图像输入数据进行采集，得到至少两个层级的亮度测量值；依据至少两个层级的亮度测量值进行拟合，得到亮度拟合曲线；依据所述亮度拟合曲线和校正目标效果，设定校正目标曲线；依据所述校正目标曲线获取灰阶的映射修正值；依据所述灰阶的映射修正值得到所述亮度校正系数。
- 根据权利要求2或5所述的方法，其特征在于，所述方法还包括：通过图像采集装置对所述图像输入数据进行采集，得到选定的色度层的每个灯点的亮色度测量值；对所述亮色度测量值进行转换，得到转换后的所述亮色度测量值；依据亮度校正中指定层的公共校正目标亮度值，对所述每个灯点的亮色度测量值中的亮度值进行调整；依据调整后的亮度值和所述亮色度测量值中的色度信息进行逆转换，得到三刺激值；依据所述三刺激值和目标值获取所述色度校正系数。
- 一种亮色度校正的装置，其特征在于，包括：获取模块，用于获取图像输入数据；第一校正模块，用于对所述图像输入数据进行第一校正，得到第一校正结果；第二校正模块，用于根据所述第一校正结果进行第二校正，得到第二校正结 果；其中，所述第一校正是多层亮度校正和至少一层色度校正中之一者，所述第二校正是多层亮度校正和至少一层色度校正中之另一者。
- 根据权利要求8所述的装置，其特征在于，所述第一校正模块包括：第一校正单元，用于依据色度校正系数对所述图像输入数据进行色度校正，得到色度校正后的图像输入数据；第一确定单元，用于将所述色度校正后的图像输入数据确定为所述第一校正结果。
- 根据权利要求9所述的装置，其特征在于，所述第二校正模块包括：第一位置确定单元，用于确定所述色度校正后的所述图像输入数据所处的层级位置；第一系数获取单元，用于依据所述层级位置获取所述色度校正后的所述图像输入数据对应的亮度校正系数；第二校正单元，用于依据所述亮度校正系数对校正后的所述图像输入数据进行校正，得到亮色度校正后的图像输入数据；第二确定单元，用于将所述亮色度校正后的图像输入数据确定为所述第二校正结果。
- 根据权利要求9所述的装置，其特征在于，所述第一校正模块包括：第二位置确定单元，用于确定所述图像输入数据所处的层级位置；第二系数获取单元，用于依据所述层级位置获取所述图像输入数据对应的亮度校正系数；第三校正单元，用于依据所述亮度校正系数对所述图像输入数据进行校正，得到亮度校正后的图像输入数据；第三确定单元，用于将所述亮度校正后的图像输入数据确定为所述第一校正结果。
- 根据权利要求11所述的装置，其特征在于，所述第二校正模块包括：第四校正单元，用于依据色度校正系数对所述亮度校正后的图像输入数据进行色度校正，得到亮色度校正后的图像输入数据；第四确定单元，用于将所述亮色度校正后的图像输入数据确定为所述第二校正结果。
- 根据权利要求10或11所述的装置，其特征在于，所述装置还包括：第一采集模块，用于通过图像采集装置对所述图像输入数据进行采集，得到至少两个层级的亮度测量值；拟合模块，用于依据至少两个层级的亮度测量值进行拟合，得到亮度拟合曲线；设定模块，用于依据所述亮度拟合曲线和校正目标效果，设定校正目标曲线；数字获取模块，用于依据所述校正目标曲线获取灰阶的映射修正值；亮度校正系数获取单元，用于依据所述灰阶的映射修正值得到所述亮度校正系数。
- 根据权利要求9或12所述的装置，其特征在于，所述装置还包括：第二采集模块，用于通过图像采集装置对所述图像输入数据进行采集，得到选定的色度层的每个灯点的亮色度测量值；第一转换模块，用于对所述亮色度测量值进行转换，得到转换后的所述亮色度测量值；调整模块，用于依据亮度校正中指定层的公共校正目标亮度值，对所述每个灯点的亮色度测量值中的亮度值进行调整；第二转换模块，用于依据调整后的亮度值和所述亮色度测量值中的色度信息进行逆转换，得到三刺激值；色度校正系数获取单元，用于依据所述三刺激值和目标值获取所述色度校正系数。
- 一种非易失性存储介质，其中，所述非易失性存储介质包括存储的程序，其中，在所述程序运行时控制所述非易失性存储介质所在设备执行权利要求1至7中任意一项所述的方法。
- 一种处理器，其中，所述处理器用于运行程序，其中，所述程序运行时执行权利要求1至7中任意一项所述的方法。
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