WO2021196036A1 - 图像处理的系统、方法和装置 - Google Patents

图像处理的系统、方法和装置 Download PDF

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Publication number
WO2021196036A1
WO2021196036A1 PCT/CN2020/082606 CN2020082606W WO2021196036A1 WO 2021196036 A1 WO2021196036 A1 WO 2021196036A1 CN 2020082606 W CN2020082606 W CN 2020082606W WO 2021196036 A1 WO2021196036 A1 WO 2021196036A1
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Prior art keywords
brightness
led display
display screen
correction coefficient
information
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PCT/CN2020/082606
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English (en)
French (fr)
Inventor
从洪春
杨城
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西安诺瓦星云科技股份有限公司
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Priority to CN202080099355.4A priority Critical patent/CN115398521A/zh
Priority to PCT/CN2020/082606 priority patent/WO2021196036A1/zh
Publication of WO2021196036A1 publication Critical patent/WO2021196036A1/zh

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    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G3/00—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes
    • G09G3/20—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters
    • G09G3/22—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters using controlled light sources
    • G09G3/30—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters using controlled light sources using electroluminescent panels
    • G09G3/32—Control arrangements or circuits, of interest only in connection with visual indicators other than cathode-ray tubes for presentation of an assembly of a number of characters, e.g. a page, by composing the assembly by combination of individual elements arranged in a matrix no fixed position being assigned to or needed to be assigned to the individual characters or partial characters using controlled light sources using electroluminescent panels semiconductive, e.g. using light-emitting diodes [LED]
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G5/00—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators

Definitions

  • the present invention relates to the field of image display technology, and in particular, to an image processing system, method and device.
  • LED displays are currently applied to various fields due to their low cost, low power consumption, high visibility, and freedom of assembly.
  • people have higher and higher requirements for its display quality. Therefore, how to improve the display quality of LED displays has become a research hotspot in this field.
  • the prior art mainly uses cameras/digital cameras/industrial cameras/brightness colorimeters/measurement of the brightness information and chromaticity information of the LED display, and then generates correction values based on the measured brightness and chromaticity information, and Use the correction value to achieve the effect of removing Mura.
  • the embodiments of the present invention provide an image processing system, method, and device to at least solve the technical problem of poor correction effect in the uniformity correction of the LED display screen.
  • an image processing method which includes: acquiring nonlinear brightness change information of the LED display screen, and calculating the linearity brightness correction coefficient of the LED display screen according to the nonlinear brightness change information; The brightness and chromaticity non-uniformity information of the display screen, and the brightness and chromaticity uniformity correction coefficient of the LED display screen is calculated according to the brightness and chromaticity non-uniformity information; the input image to be processed is corrected according to the linearity brightness correction coefficient and the brightness and chromaticity uniformity correction coefficient.
  • obtaining the non-linear brightness change information of the LED display screen includes: obtaining the brightness change information of the LED display screen when multiple gray levels are displayed; and obtaining the non-linear brightness change information of the LED display screen according to the brightness change information.
  • calculating the linearity brightness correction coefficient of the LED display screen according to the non-linear brightness change information includes: setting a reference brightness curve; wherein the reference brightness curve represents the reference linear change relationship between gray scale and brightness; according to the reference brightness curve and non-linearity
  • the brightness change information obtains the linearity brightness correction coefficient of the LED display screen.
  • obtaining the linearity brightness correction coefficient of the LED display screen according to the reference brightness curve and the non-linear brightness change information includes: obtaining the target brightness data corresponding to the target gray scale value in the reference brightness curve; in the non-linear brightness change information Find the mapped brightness data with the difference value of the target brightness data within the preset range; find the mapped grayscale value corresponding to the mapped brightness data in the non-linear brightness change information; calculate the LED display according to the mapped grayscale value and the target grayscale value The linearity brightness correction coefficient of the screen.
  • calculating the brightness and chromaticity uniformity correction coefficient of the LED display screen according to the brightness and chromaticity non-uniformity information includes: obtaining the brightness and chromaticity information of each component in the brightness and chromaticity non-uniformity information; respectively calculating the average value of the brightness and chromaticity information of each component; The average value of the brightness and chromaticity information of the components and the brightness and chromaticity information of each component are calculated to obtain the brightness and chromaticity uniformity correction coefficient of the LED display screen.
  • an image processing device including: a first calculation module, used to obtain the non-linear brightness change information of the LED display screen, and calculate the LED display screen based on the non-linear brightness change information Linearity brightness correction coefficient;
  • the second calculation module is used to obtain the brightness and chromaticity non-uniformity information of the LED display screen, and calculate the brightness and chromaticity uniformity correction coefficient of the LED display screen according to the brightness and chromaticity non-uniformity information;
  • the correction module is used to base on the linearity
  • the brightness correction coefficient and the brightness and chromaticity uniformity correction coefficient correct the input image to be processed.
  • the first calculation module includes: a first acquisition unit for acquiring brightness change information of the LED display screen when multiple gray levels are displayed; a first calculation unit for acquiring the LED display screen according to multiple brightness change information The non-linear brightness change information.
  • the first calculation module further includes: a first acquisition unit for setting a reference brightness curve; wherein the reference brightness curve represents a reference linear change relationship between grayscale and brightness; and the first calculation unit is used for setting a reference brightness curve according to the reference brightness curve And the non-linear brightness change information to obtain the linearity brightness correction coefficient of the LED display screen.
  • the first calculation unit further includes: an obtaining subunit, configured to obtain target brightness data corresponding to the target grayscale value in the reference brightness curve; Find the mapped brightness data whose difference with the target brightness data is within a preset range; the second search subunit is used to find the mapped grayscale value corresponding to the mapped brightness data in the non-linear brightness change information; the coefficient calculation subunit uses To calculate the linearity brightness correction coefficient of the LED display screen according to the mapped gray scale value and the target gray scale value.
  • the second calculation module includes: a second acquisition unit, configured to acquire the luminance and chrominance information of each component in the luminance and chrominance non-uniformity information; and a second calculation subunit, configured to calculate the average value of the luminance and chrominance information of each component respectively;
  • the third calculation subunit is used to calculate according to the average value of the brightness and chromaticity information of each component and the brightness and chromaticity information of each component to obtain the brightness and chromaticity uniformity correction coefficient of the LED display screen.
  • an image processing system including: a first processing subsystem, used to obtain non-linear brightness change information of the LED display screen, and calculate the LED display according to the non-linear brightness change information The linearity brightness correction coefficient of the screen; and obtain the brightness and chromaticity non-uniformity information of the LED display, and calculate the brightness and chromaticity uniformity correction coefficient of the LED display according to the brightness and chromaticity non-uniformity information; the second processing subsystem is used for the linearity basis The brightness correction coefficient and the brightness and chromaticity uniformity correction coefficient correct the input image to be processed.
  • first processing sub-system and the second processing sub-system are integrated in the same device, or the first processing sub-system and the second processing sub-system are separately deployed in multiple devices.
  • the first processing subsystem is a processing device
  • the second processing subsystem is a display controller
  • a non-volatile storage medium includes a stored program, wherein, when the program is running, the device where the non-volatile storage medium is located is controlled to execute the above image Approach.
  • a processor which is configured to run a program stored in a storage medium, where the above-mentioned image processing method is executed when the program is running.
  • the method of combining LED linearity correction and uniformity correction is adopted to obtain the non-linear brightness change information of the LED display screen, and calculate the linearity brightness correction coefficient of the LED display screen according to the non-linear brightness change information ; Obtain the brightness and chromaticity non-uniformity information of the LED display, and calculate the brightness and chromaticity uniformity correction coefficient of the LED display according to the brightness and chromaticity non-uniformity information; according to the linearity brightness correction coefficient and the brightness and chromaticity uniformity correction coefficient to input the image to be processed
  • the calibration has achieved the goal of bringing the linearity correction of the LED display into the field of LED display correction, thus realizing the technical effect of advancing the standardization of LED display and calibration, and then solving the existence of uniformity correction of the LED display.
  • the correction effect is poor technical problem.
  • Fig. 1 is a schematic flowchart of an image processing method according to an embodiment of the present invention
  • Fig. 1a is a schematic diagram of the relationship between brightness and grayscale values in a reference brightness curve and an actual brightness curve in an image processing method according to an embodiment of the present invention
  • Fig. 2 is a schematic diagram of an image processing apparatus according to an embodiment of the present invention.
  • Fig. 3 is a schematic diagram of an image processing system according to an embodiment of the present invention.
  • FIG. 1 is a schematic flowchart of an image processing method according to an embodiment of the present invention. As shown in FIG. 1, the image processing method includes:
  • Step S102 Obtain non-linear brightness change information of the LED display screen, and calculate the linearity brightness correction coefficient of the LED display screen according to the non-linear brightness change information;
  • the image processing method provided by the embodiment of the present application can be applied to the image processing of the image to be displayed in the LED display screen display scene.
  • the display image of the LED display can be collected by the collection device, and then the collected image can be processed and obtained by the computing device with data processing ability, or the non-linear brightness change information of the LED display can be directly obtained by the collection device It is then fed back to the computing device; the calculation of the linearity brightness correction coefficient of the LED display screen can be realized by a computing device with data processing capabilities.
  • the computing device in the embodiment of the present application can include: a notebook computer, a desktop computer, and a supercomputer , Cloud processors and other terminal devices with data processing capabilities.
  • the computing device is a notebook computer (hereinafter referred to as a computer) as an example
  • the collection device is a luminance meter and a luminance colorimeter as examples for illustration:
  • the computer is connected to the luminance meter and the luminance colorimeter respectively, and the linearity luminance correction coefficient is calculated by the nonlinear luminance change information of the LED display screen collected by the luminance meter; or, the image displayed on the LED display screen is collected by the luminance meter, and the computer obtains
  • the non-linear brightness change information is obtained from the image, and then the calculation is performed according to the non-linear brightness change information to obtain the linearity brightness correction coefficient.
  • the luminance meter in the embodiment of the present application may include: a spot luminance meter or an area luminance meter.
  • Step S104 acquiring brightness and chromaticity non-uniformity information of the LED display screen, and calculating the brightness and chromaticity uniformity correction coefficient of the LED display screen according to the brightness and chromaticity non-uniformity information;
  • step S104 still taking the example in step S102 as an example, the brightness and chromaticity non-uniformity information of the LED display screen collected by the brightness colorimeter is used to calculate the brightness and chromaticity uniformity correction coefficient; or, the LED display screen is collected by the brightness colorimeter
  • the computer obtains the brightness and chromaticity non-uniformity information from the image, and then performs calculations based on the brightness and chromaticity non-uniformity information to obtain the brightness and chromaticity uniformity correction coefficient.
  • the luminance colorimeter in the embodiment of the present application may include: an area/matrix luminance colorimeter, for example, a digital camera/industrial camera.
  • Step S106 Correct the input image to be processed according to the linearity brightness correction coefficient and the brightness and chromaticity uniformity correction coefficient.
  • step S106 the linearity brightness correction coefficient and brightness and chromaticity uniformity correction coefficient obtained through step S102 and step S104.
  • the linearity brightness correction coefficient and the brightness and chromaticity uniformity correction coefficient are used for the input waiting Process the image for correction, thereby improving the technical defect of poor correction effect in the prior art, achieving the goal of bringing the linearity correction of the LED display into the field of LED display correction, thereby realizing the promotion of LED display and calibration The technical effect of the standardization.
  • steps S102 to S106 can be implemented in an image processing system configured with a first processing subsystem and a second processing subsystem, that is, step S102 and step S102.
  • S104 can be implemented in a first processing subsystem, where the first processing subsystem can be an offline processing system;
  • step S106 can be implemented in a second processing subsystem, where the second processing subsystem can be an online system;
  • the data processing stages are separated, so that in online applications, due to the advance processing of the offline system, in the online processing system, when the image to be processed is obtained, the online system can be based on the linearity brightness correction coefficient and the brightness uniformity obtained by the offline system
  • the performance correction coefficient corrects the input image to be processed, which realizes the correction of the LED display screen and improves the data processing efficiency.
  • the linear brightness correction coefficient and the brightness uniformity correction coefficient received by the offline system can also be verified according to the non-linear brightness change information and the brightness and chromaticity non-uniformity information in the image to be processed.
  • the online system adapts the corresponding linearity brightness correction to the processed image according to the process of calculating the linearity brightness correction coefficient and the brightness and chroma uniformity correction coefficient.
  • the coefficients and brightness and chromaticity uniformity correction coefficients are synchronized with the offline system, so that the linearity brightness correction coefficients and the brightness and chromaticity uniformity correction coefficients can be updated in real time, and continuously self-learning, suitable for more application scenarios.
  • first processing sub-system and the second processing sub-system are integrated in the same device, or the first processing sub-system and the second processing sub-system are separately deployed in multiple devices
  • the method of combining LED linearity correction and uniformity correction is adopted to obtain the non-linear brightness change information of the LED display screen, and calculate the linearity brightness correction coefficient of the LED display screen according to the non-linear brightness change information ;
  • Obtain the brightness and chromaticity non-uniformity information of the LED display, and calculate the brightness and chromaticity uniformity correction coefficient of the LED display according to the brightness and chromaticity non-uniformity information; according to the linearity brightness correction coefficient and the brightness and chromaticity uniformity correction coefficient to input the image to be processed Correction has achieved the goal of bringing the linearity correction of the LED display into the field of LED display correction, thus achieving the technical effect of advancing the standardization of the display and calibration of the LED display, thereby solving the uniformity of the LED display.
  • obtaining the non-linear brightness change information of the LED display screen in step S102 includes: obtaining the brightness change information of the LED display screen when multiple gray levels are displayed; and obtaining the non-linear brightness change information of the LED display screen according to the brightness change information.
  • the non-linear brightness change information of the LED display screen when obtaining the non-linear brightness change information of the LED display screen, what can be obtained is the brightness change information of the entire LED display when it is displayed in different gray scales, or it can be displayed in different gray scales by the LED box carried by a receiving card.
  • the collection device collects non-linear brightness change information
  • the collection device can be a brightness meter, and the brightness change information of the LED display screen when multiple gray levels are displayed is acquired through the brightness meter, which is provided by the embodiment of the application
  • the image processing method uses the luminance meter to collect the brightness change information of the LED display in different grayscales, and then obtain the non-linear brightness change information of the LED display according to the brightness change information when the different grayscales are displayed.
  • the non-linear brightness change The manifestation of the information can be a non-linear brightness change curve.
  • the image processing method provided by the embodiment of the application can collect the display image of the LED display screen at 0, 1, 2, 3...255 gray scales through a luminance meter, and according to the LED display screen at 0, 1, 2, 3...
  • the display image under 255 gray scale obtains the brightness change information of the LED display in 0, 1, 2, 3...255 gray scales, and then according to the brightness change of the LED display in 0, 1, 2, 3...255 gray scales
  • the information acquires the non-linear brightness change information of the LED display screen; it is noted that in this embodiment, only 0-255 gray scales are used as an example for description, which does not limit other embodiments of the present invention;
  • the embodiment of the present application also provides an implementation method: for example, when the non-linear brightness change information of the LED display screen is collected by a point luminometer or an area luminometer, [L0, L1, L2 ,L3,L4, etcLN-1]
  • the brightness change information of the LED display in the gray scale where N represents the number of gray scales of the LED, such as the gray scale of the 16bit-depth LED display shown in Figure 1a
  • the number N, N is 65536.
  • calculating the linearity brightness correction coefficient of the LED display screen according to the non-linear brightness change information includes: setting a reference brightness curve; wherein the reference brightness curve represents the reference linear change relationship between gray scale and brightness; according to the reference brightness curve and non-linearity
  • the brightness change information obtains the linearity brightness correction coefficient of the LED display screen.
  • obtaining the linearity brightness correction coefficient of the LED display screen according to the reference brightness curve and the non-linear brightness change information includes: obtaining the target brightness data corresponding to the target gray scale value in the reference brightness curve; in the non-linear brightness change information Find the mapped brightness data with the difference value of the target brightness data within the preset range; find the mapped grayscale value corresponding to the mapped brightness data in the non-linear brightness change information; calculate the LED display according to the mapped grayscale value and the target grayscale value The linearity brightness correction coefficient of the screen.
  • the horizontal axis is the grayscale value
  • the vertical axis is the brightness value.
  • the reference brightness curve is the dashed line in Figure 1a
  • the target grayscale value A1 is determined from the reference brightness curve.
  • the target brightness data B1 corresponding to the target grayscale value ; look for the difference between the B1 and the B1 in the non-linear brightness change information (ie, the solid line corresponding to the grayscale value and the brightness value in FIG. 1a) in the preset range
  • the corresponding mapped grayscale value A2 is obtained according to the B2, and finally calculated according to A2 and A1 to obtain the linearity brightness correction coefficient of the LED display screen.
  • the target gray scale value (A1) corresponds to the target brightness data Is B1; based on the target brightness data B1, from the non-linear brightness change information (the solid line in Figure 1a), the mapped brightness data whose difference with the target brightness data B1 is within the preset range is obtained, as shown in Figure 1a
  • the difference between the mapped brightness data B2 and the target brightness data B1 is zero; it is worth noting that the difference between the mapped brightness data B2 and the target brightness data B1 can also be If it is not zero, the difference can be within the preset range.
  • the preset range can be set according to actual needs, and it is not limited here; when the mapped brightness data B2 is obtained, it is obtained based on the mapped brightness data B2
  • the corresponding mapped gray scale value A2 is calculated according to A2 and the target gray scale value 2048, and the linearity brightness correction coefficient of the LED display screen in 2048 gray scale display can be obtained.
  • acquiring the mapped brightness data whose difference with the target brightness data B1 is within a preset range may also be expressed as: the brightness data with the closest distance to the target brightness data B1 in the non-linear brightness change information.
  • the reference brightness curve can be expressed as [0,LN*1/N,LN*2/N,LN*3/N,LN*4/N , etcLN*N/N], and the linearity brightness correction coefficient can be obtained by selecting the data closest to the reference brightness curve in the original brightness data.
  • the original brightness closest to LN*1/N is L0, which is the closest
  • the original brightness of LN*2/N is L1
  • the original brightness closest to LN*3/N is L1
  • the original brightness closest to LN*4/N is L2,...; therefore the linearity brightness correction coefficient can be expressed as [ 0,0,1,1, etcN].
  • the brightness curve of the LED display screen can be mapped to linear brightness.
  • calculating the brightness and chromaticity uniformity correction coefficient of the LED display screen according to the brightness and chromaticity non-uniformity information in step S104 includes: obtaining the brightness and chromaticity information of each component in the brightness and chromaticity non-uniformity information; respectively calculating the average value of the brightness and chromaticity information of each component ; Calculate according to the average value of the brightness and chromaticity information of each component and the brightness and chromaticity information of each component, and obtain the brightness and chromaticity uniformity correction coefficient of the LED display screen.
  • the computer measures the brightness and chromaticity of the LED through the brightness colorimeter, obtains the brightness and chromaticity non-uniformity information of the entire LED, and calculates according to the brightness and chromaticity non-uniformity information to obtain the brightness and chromaticity uniformity correction coefficient;
  • the luminance colorimeter in the embodiment of the present application may include: an area/matrix luminance colorimeter, for example, a digital camera/industrial camera.
  • the luminance and chrominance information of each component in the luminance and chrominance non-uniformity information is obtained, and the mean value of the luminance and chrominance information of each component is calculated separately, based on the mean value of the luminance and chrominance information of each component and the luminance and chrominance of each component Information is calculated to obtain the brightness and chromaticity uniformity correction coefficient.
  • the acquisition of LED contains red, green and blue components, each of which contains brightness information Y and chromaticity information (X, Z).
  • the information captured by the red component can be expressed as [Xr,Yr,Zr]
  • the information gathered by the green component can be expressed as [Xg,Yg,Zg]
  • the information gathered by the blue component can be expressed as [Xb,Yb,Zb ]
  • the corrected target values of the red, green and blue components are calculated by taking the average value as with
  • RGB rightness and chromaticity uniformity correction coefficient
  • [Xr, Yr, Zr] represents a certain pixel in [Xr, Yr, Zr].
  • [Xg, Yg, Zg] represents a certain pixel in [Xg, Yg, Zg].
  • [Xb, Yb, Zb] represents a certain pixel in [Xb, Yb, Zb].
  • the image processing method provided by the embodiment of the present application greatly improves the problem of poor correction effect in the prior art, and improves the image display quality.
  • the linearity correction of the LED display screen is entered into the field of LED display correction, which greatly promotes the standardization of the display and calibration of the LED display screen, and lays the foundation for the further development of the LED display screen in the future.
  • luminance meter and the luminance colorimeter in the embodiment of the present application are only described by taking the above examples as an example, and the implementation of the image processing method provided in the embodiment of the present application shall prevail, and the specifics are not limited.
  • FIG. 2 is a schematic diagram of the image processing device according to an embodiment of the present invention.
  • the non-linear brightness change information of the LED display screen, and the linearity brightness correction coefficient of the LED display screen is calculated according to the non-linear brightness change information;
  • the second calculation module 24 is used to obtain the non-uniform brightness and chromaticity information of the LED display screen, and according to the brightness
  • the degree of non-uniformity information calculates the brightness and chromaticity uniformity correction coefficient of the LED display screen;
  • the correction module 26 is used to correct the input image to be processed according to the linearity brightness correction coefficient and the brightness and chromaticity uniformity correction coefficient.
  • the first calculation module 22 includes: a first acquisition unit for acquiring brightness change information of the LED display screen when multiple gray levels are displayed; a first calculation unit for acquiring the LED display according to multiple brightness change information Non-linear brightness change information of the screen.
  • the first calculation module 22 further includes: a first acquisition unit configured to set a reference brightness curve; wherein the reference brightness curve represents a reference linear change relationship between grayscale and brightness; and the first calculation unit is configured to set a reference brightness curve
  • the curve and non-linear brightness change information obtains the linearity brightness correction coefficient of the LED display screen.
  • the first calculation unit further includes: an obtaining subunit, which is used to obtain target brightness data corresponding to the target grayscale value in the reference brightness curve; Find the mapped brightness data whose difference with the target brightness data is within a preset range; the second search subunit is used to find the mapped grayscale value corresponding to the mapped brightness data in the non-linear brightness change information; the coefficient calculation subunit uses To calculate the linearity brightness correction coefficient of the LED display screen according to the mapped gray scale value and the target gray scale value.
  • the second calculation module 24 includes: a second acquisition unit for acquiring the luminance and chrominance information of each component in the luminance and chrominance non-uniformity information; and a second calculation subunit for separately calculating the average value of the luminance and chrominance information for each component ;
  • the third calculation subunit is used to calculate according to the average value of the brightness and chromaticity information of each component and the brightness and chromaticity information of each component to obtain the brightness and chromaticity uniformity correction coefficient of the LED display screen.
  • FIG. 3 is a schematic diagram of the image processing system according to an embodiment of the present invention.
  • the image processing system includes: a first processing subsystem for Obtain the non-linear brightness change information of the LED display, and calculate the linear brightness correction coefficient of the LED display according to the non-linear brightness change information; and obtain the brightness and chromaticity non-uniformity information of the LED display, and calculate the LED based on the brightness and chromaticity non-uniformity information The brightness and chromaticity uniformity correction coefficient of the display screen; the second processing subsystem is used to correct the input image to be processed according to the linearity brightness correction coefficient and the brightness and chromaticity uniformity correction coefficient.
  • the first processing sub-system 31 and the second processing sub-system 32 are integrated in the same device, or the first processing sub-system 31 and the second processing sub-system 32 are respectively deployed in multiple devices.
  • the first processing subsystem is a processing device
  • the second processing subsystem is a display controller
  • the image processing system provided by this embodiment of the application includes a first processing subsystem 31 and a second processing subsystem 32.
  • the first processing subsystem 31 may be an offline processing system.
  • the second processing subsystem may be an online processing system;
  • the offline processing system includes: computing equipment and acquisition equipment.
  • the computing equipment may include: notebook computers, desktop computers, tablet computers, supercomputers, etc., which can meet the requirements of data calculation
  • the collection equipment includes: a luminance meter and a luminance colorimeter; among them, in this embodiment, offline and online are mainly for the time when the LED display screen displays data.
  • the brightness meter collects the non-linear brightness change information of the LED display screen, or the computing device obtains the non-linear brightness change information of the LED display screen according to the data collected by the brightness meter;
  • the brightness colorimeter collects the non-uniform brightness and chromaticity information of the LED display screen,
  • the calculation device is based on the non-uniformity information of the brightness and color of the LED display according to the data collected by the brightness colorimeter;
  • the calculation device is connected to the brightness meter and the brightness colorimeter respectively to calculate based on the non-linear brightness change information to obtain the linearity brightness correction coefficient ; Calculate according to the brightness and chromaticity non-uniformity information to obtain the brightness and chromaticity uniformity correction coefficient.
  • the computing device in the offline processing system is a notebook computer (hereinafter referred to as a computer) as an example, and the collection device is a luminance meter and a luminance colorimeter as examples for description:
  • the offline system includes the following methods:
  • the computer calculates the linearity brightness correction coefficient through the non-linear brightness change information of the LED display screen collected by the brightness meter;
  • the computer collects the brightness and chromaticity non-uniformity information of the LED display screen through the brightness colorimeter, and calculates the brightness and chromaticity uniformity correction coefficient;
  • the image displayed on the LED display screen is collected by the luminance meter, and the computer obtains the non-linear brightness change information from the image, and then calculates based on the non-linear brightness change information to obtain the linearity brightness correction coefficient;
  • the image displayed on the LED display is collected by the brightness colorimeter, and the computer obtains the brightness and chromaticity non-uniformity information from the image, and then calculates according to the brightness and chromaticity non-uniformity information to obtain the brightness and chromaticity uniformity correction coefficient.
  • a non-volatile storage medium includes a stored program, wherein, when the program is running, the device where the non-volatile storage medium is located is controlled to execute the above implementation The image processing method in Example 1.
  • a processor which is configured to run a program stored in a storage medium, where the image processing method in Embodiment 1 is executed when the program is running.
  • the disclosed technical content can be implemented in other ways.
  • the device embodiments described above are merely illustrative.
  • the division of the units may be a logical function division, and there may be other divisions in actual implementation, for example, multiple units or components may be combined or may be Integrate into another system, or some features can be ignored or not implemented.
  • the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, 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 the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.
  • the functional units in the various embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit.
  • the above-mentioned integrated unit can be implemented in the form of hardware or software functional unit.
  • the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer readable storage medium.
  • the technical solution of the present invention essentially or the part that contributes to the existing technology 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.
  • a computer device which can be a personal computer, a server, or a network device, etc.
  • the aforementioned storage media include: 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 code .

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Abstract

本发明公开了一种图像处理的系统、方法和装置。其中，该方法包括：获取LED显示屏的非线性亮度变化信息，并根据非线性亮度变化信息计算LED显示屏的线性度亮度校正系数；获取LED显示屏的亮色度非均匀信息，并根据亮色度非均匀信息计算LED显示屏的亮色度均匀性校正系数；依据线性度亮度校正系数和亮色度均匀性校正系数对输入的待处理图像进行校正。本发明解决了LED显示屏存在的均匀性校正存在的校正效果差的技术问题。

Description

图像处理的系统、方法和装置 技术领域
本发明涉及图像显示技术领域，具体而言，涉及一种图像处理的系统、方法和装置。
背景技术
随着LED显示技术的发展，目前LED显示屏因其成本低、功耗小、可视性高、组装自由等优点被应用到各种领域。同时，随着LED显示屏应用的普及，人们对其显示质量的要求也越来越高，因此如何提升LED显示屏显示质量已成为该领域的研究热点。
目前，LED显示屏显示质量存在的一个较为棘手问题就是LED显示器的亮色度均匀性(Mura)比较差，即显示屏会明显的显示出亮色块。为了解决该问题，现有技术主要通过使用相机/数码相机/工业相机/亮色度计/量测LED显示屏的亮度信息和色度信息，然后根据量测到的亮色度信息生成校正值，并使用校正值达到去除Mura的效果。
然而，在实际应用中，LED显示屏因为制造工艺的问题，其经过PWM驱动之后显示出来的亮度并不是绝对线性的，因此校正后的LED显示器还会有Mura现象存在。
针对上述LED显示屏存在的均匀性校正存在的校正效果差的问题，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图像处理的系统、方法和装置，以至少解决LED显示屏存在的均匀性校正存在的校正效果差的技术问题。
根据本发明实施例的一个方面，提供了一种图像处理方法，包括：获取LED显示屏的非线性亮度变化信息，并根据非线性亮度变化信息计算LED显示屏的线性度亮度校正系数；获取LED显示屏的亮色度非均匀信息，并根据亮色度非均匀信息计算LED显示屏的亮色度均匀性校正系数；依据线性度亮度校正系数和亮色度均匀性校正系数对输入的待处理图像进行校正。
可选的，获取LED显示屏的非线性亮度变化信息包括：获取LED显示屏在多个 灰阶显示时的亮度变化信息；根据亮度变化信息获取LED显示屏的非线性亮度变化信息。
可选的，根据非线性亮度变化信息计算LED显示屏的线性度亮度校正系数包括：设置基准亮度曲线；其中，基准亮度曲线表征灰阶与亮度的基准线性变化关系；根据基准亮度曲线和非线性亮度变化信息获取LED显示屏的线性度亮度校正系数。
进一步地，可选的，根据基准亮度曲线和非线性亮度变化信息获取LED显示屏的线性度亮度校正系数包括：获取基准亮度曲线中目标灰阶值对应的目标亮度数据；在非线性亮度变化信息中查找与目标亮度数据的差值在预设范围内的映射亮度数据；在非线性亮度变化信息中查找映射亮度数据对应的映射灰阶值；根据映射灰阶值和目标灰阶值计算LED显示屏的线性度亮度校正系数。
可选的，根据亮色度非均匀信息计算LED显示屏的亮色度均匀性校正系数包括：获取亮色度非均匀信息中各分量的亮色度信息；分别计算各分量的亮色度信息的均值；依据各分量的亮色度信息的均值和各分量的亮色度信息进行计算，得到LED显示屏的亮色度均匀性校正系数。
根据本发明实施例的另一个方面，提供了一种图像处理装置，包括：第一计算模块，用于获取LED显示屏的非线性亮度变化信息，并根据非线性亮度变化信息计算LED显示屏的线性度亮度校正系数；第二计算模块，用于获取LED显示屏的亮色度非均匀信息，并根据亮色度非均匀信息计算LED显示屏的亮色度均匀性校正系数；校正模块，用于依据线性度亮度校正系数和亮色度均匀性校正系数对输入的待处理图像进行校正。
可选的，第一计算模块包括：第一采集单元，用于获取LED显示屏在多个灰阶显示时的亮度变化信息；第一计算单元，用于根据多个亮度变化信息获取LED显示屏的非线性亮度变化信息。
可选的，第一计算模块还包括：第一获取单元，用于设置基准亮度曲线；其中，基准亮度曲线表征灰阶与亮度的基准线性变化关系；第一计算单元，用于根据基准亮度曲线和非线性亮度变化信息获取LED显示屏的线性度亮度校正系数。
进一步地，可选的，第一计算单元还包括：获取子单元，用于获取基准亮度曲线中目标灰阶值对应的目标亮度数据；第一查找子单元，用于在非线性亮度变化信息中查找与目标亮度数据的差值在预设范围内的映射亮度数据；第二查找子单元，用于在非线性亮度变化信息中查找映射亮度数据对应的映射灰阶值；系数计算子单元，用于 根据映射灰阶值和目标灰阶值计算LED显示屏的线性度亮度校正系数。
可选的，第二计算模块包括：第二采集单元，用于获取亮色度非均匀信息中各分量的亮色度信息；第二计算子单元，用于分别计算各分量的亮色度信息的均值；第三计算子单元，用于依据各分量的亮色度信息的均值和各分量的亮色度信息进行计算，得到LED显示屏的亮色度均匀性校正系数。
根据本发明实施例的又一个方面，提供了一种图像处理的系统，包括：第一处理子系统，用于获取LED显示屏的非线性亮度变化信息，并根据非线性亮度变化信息计算LED显示屏的线性度亮度校正系数；以及获取LED显示屏的亮色度非均匀信息，并根据亮色度非均匀信息计算LED显示屏的亮色度均匀性校正系数；第二处理子系统，用于依据线性度亮度校正系数和亮色度均匀性校正系数对输入的待处理图像进行校正。
可选的，第一处理子系统与第二处理子系统集成于同一装置，或，第一处理子系统与第二处理子系统分别部署于多个装置。
进一步地，可选的，第一处理子系统为处理设备，第二处理子系统为显示控制器。
根据本发明实施例的再一个方面，提供了一种非易失性存储介质，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图像处理方法。
根据本发明实施例的再一个方面，提供了一种处理器，处理器用于运行存储在存储介质中的程序，其中，程序运行时执行上述图像处理方法。
在本发明实施例中，采用将LED线性度校正和均匀性校正结合的方式，通过获取LED显示屏的非线性亮度变化信息，并根据非线性亮度变化信息计算LED显示屏的线性度亮度校正系数；获取LED显示屏的亮色度非均匀信息，并根据亮色度非均匀信息计算LED显示屏的亮色度均匀性校正系数；依据线性度亮度校正系数和亮色度均匀性校正系数对输入的待处理图像进行校正，达到了将LED显示屏的线性度校正进入到LED显示屏校正领域的目的，从而实现了推进LED的显示和校准的标准化的技术效果，进而解决了LED显示屏存在的均匀性校正存在的校正效果差技术问题。
附图说明
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图像处理方法的流程示意图；
图1a是根据本发明实施例的图像处理方法中基准亮度曲线和实际亮度曲线中亮度与灰阶值之间关系的示意图；
图2是根据本发明实施例的图像处理装置的示意图；
图3是根据本发明实施例的图像处理系统的示意图。
具体实施方式
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，提供了一种图像处理方法，图1是根据本发明实施例的图像处理方法的流程示意图，如图1所示，该图像处理方法包括：
步骤S102，获取LED显示屏的非线性亮度变化信息，并根据非线性亮度变化信息计算LED显示屏的线性度亮度校正系数；
在步骤S102中，本申请实施例提供的图像处理方法可以适用于LED显示屏显示场景下，对待显示图像的图像处理，其中，本申请实施例提供的图像处理方法在获取LED显示屏的非线性亮度变化信息时可以通过采集设备对LED显示屏的显示图像进行采集，进而由具备数据处理能力的计算设备对采集图像进行处理获取，或者直接由采集设备获取到LED显示屏的非线性亮度变化信息后反馈给计算设备；在计算LED显示屏的线性度亮度校正系数时可以通过具备数据处理能力的计算设备实现，其中，本申请实施例中的计算设备可以包括：笔记本电脑、台式电脑、超级计算机、云处理 器等具备数据处理能力的终端设备。
其中，计算设备以笔记本电脑(以下简称电脑)为例，采集设备以亮度计和亮色度计为例进行说明：
电脑分别与亮度计和亮色度计连接，通过亮度计采集到的LED显示屏的非线性亮度变化信息计算线性度亮度校正系数；或者，通过亮度计采集LED显示屏显示的图像，由电脑从该图像中获取非线性亮度变化信息，进而依据该非线性亮度变化信息进行计算，得到线性度亮度校正系数。
其中，本申请实施例中的亮度计可以包括：点亮度计或者面亮度计。
步骤S104，获取LED显示屏的亮色度非均匀信息，并根据亮色度非均匀信息计算LED显示屏的亮色度均匀性校正系数；
在步骤S104中，仍旧以步骤S102中的示例为例，通过亮色度计采集到的LED显示屏的亮色度非均匀信息，计算亮色度均匀性校正系数；或者，通过亮色度计采集LED显示屏显示的图像，由电脑从该图像中获取亮色度非均匀信息，进而依据该亮色度非均匀信息进行计算，得到亮色度均匀性校正系数。
其中，本申请实施例中的亮色度计可以包括：面/矩阵亮色度计，例如，数码相机/工业相机。
步骤S106，依据线性度亮度校正系数和亮色度均匀性校正系数对输入的待处理图像进行校正。
在步骤S106中，通过步骤S102和步骤S104得到的线性度亮度校正系数和亮色度均匀性校正系数，当存在待处理图像时，依据线性度亮度校正系数和亮色度均匀性校正系数对输入的待处理图像进行校正，从而改善了现有技术存在的校正效果不佳的技术缺陷，达到了将LED显示屏的线性度校正进入到LED显示屏校正领域的目的，从而实现了推进LED的显示和校准的标准化的技术效果。
此外，在实现本申请实施例提供的图像处理方法的过程中，步骤S102至步骤S106可以在配置有第一处理子系统和第二处理子系统的图像处理系统中实现，即，步骤S102和步骤S104可以在第一处理子系统中实现，其中，第一处理子系统可以为离线处理系统；步骤S106可以在第二处理子系统中实现，其中，第二处理子系统可以为在线系统；通过将数据处理的阶段进行分离，使得在线应用中，由于离线系统的提前处理，在在线处理系统中，当获取到待处理图像时，可以在线系统依据离线系统得到的线性度亮度校正系数和亮色度均匀性校正系数对输入的待处理图像进行校正，实现了 LED显示屏校正的同时，提升了数据处理效率。
其中，在在线系统应用中，还能够根据待处理图像中的非线性亮度变化信息和亮色度非均匀信息对离线系统接收的线性度亮度校正系数和亮色度均匀性校正系数进行校验，在离线系统中的线性度亮度校正系数和亮色度均匀性校正系数不能满足图像处理时，在线系统根据计算线性度亮度校正系数和亮色度均匀性校正系数的流程对待处理图像适配对应的线性度亮度校正系数和亮色度均匀性校正系数，并与离线系统进行同步，进而实现线性度亮度校正系数和亮色度均匀性校正系数能够实时更新，并不断自学习，适用更多应用场景。
可选的，第一处理子系统与第二处理子系统集成于同一装置，或，第一处理子系统与第二处理子系统分别部署于多个装置
在本发明实施例中，采用将LED线性度校正和均匀性校正结合的方式，通过获取LED显示屏的非线性亮度变化信息，并根据非线性亮度变化信息计算LED显示屏的线性度亮度校正系数；获取LED显示屏的亮色度非均匀信息，并根据亮色度非均匀信息计算LED显示屏的亮色度均匀性校正系数；依据线性度亮度校正系数和亮色度均匀性校正系数对输入的待处理图像进行校正，达到了将LED显示屏的线性度校正进入到LED的显示屏校正领域的目的，从而实现了推进LED显示屏的显示和校准的标准化的技术效果，进而解决了LED显示屏存在的均匀性校正存在的校正效果差技术问题。
可选的，步骤S102中获取LED显示屏的非线性亮度变化信息包括：获取LED显示屏在多个灰阶显示时的亮度变化信息；根据亮度变化信息获取LED显示屏的非线性亮度变化信息。
其中，在获取LED显示屏的非线性亮度变化信息时，可以获取的是整个LED显示器在不同灰阶显示时的亮度变化信息，也可以是一张接收卡带载的LED箱体在不同灰阶显示时的亮度变化信息；另外在采集设备采集非线性亮度变化信息时，采集设备可以为亮度计，通过亮度计获取LED显示屏在多个灰阶显示时的亮度变化信息，即本申请实施例提供的图像处理方法通过亮度计采集LED显示屏在不同灰阶显示时的亮度变化信息，进而根据不同灰阶显示时的亮度变化信息获取LED显示屏的非线性亮度变化信息，其中，非线性亮度变化信息的表现形式可以为非线性亮度变化曲线。
例如，本申请实施例提供的图像处理方法可通过亮度计采集LED显示屏在0、1、2、3…255灰阶下的显示图像，并根据LED显示屏在0、1、2、3…255灰阶下的显示图像获取LED显示屏在0、1、2、3…255灰阶下的亮度变化信息，进而根据LED显示屏在0、1、2、3…255灰阶下的亮度变化信息获取LED显示屏的非线性亮度变化信 息；指的注意的是，本实施例中仅以0-255灰阶为例进行说明，其并不对本发明的其他实施方式造成限制；
此外，如图1a所示，本申请实施例还提供了一种实现方式：例如通过点亮度计或者面亮度计采集的LED显示屏的非线性亮度变化信息时，可以采集[L0,L1,L2,L3,L4,…..LN-1]级灰阶下LED显示屏的亮度变化信息，其中N表示LED的灰阶数，例如图1a中所示的16bit位深的LED显示屏的灰阶数N，N为65536。
可选的，根据非线性亮度变化信息计算LED显示屏的线性度亮度校正系数包括：设置基准亮度曲线；其中，基准亮度曲线表征灰阶与亮度的基准线性变化关系；根据基准亮度曲线和非线性亮度变化信息获取LED显示屏的线性度亮度校正系数。
进一步地，可选的，根据基准亮度曲线和非线性亮度变化信息获取LED显示屏的线性度亮度校正系数包括：获取基准亮度曲线中目标灰阶值对应的目标亮度数据；在非线性亮度变化信息中查找与目标亮度数据的差值在预设范围内的映射亮度数据；在非线性亮度变化信息中查找映射亮度数据对应的映射灰阶值；根据映射灰阶值和目标灰阶值计算LED显示屏的线性度亮度校正系数。
在一种可实现的方式中，如图1a所示，横轴为灰阶值，纵轴为亮度值，基准亮度曲线即为图1a中虚线，从该基准亮度曲线中确定目标灰阶值A1，以及与目标灰阶值对应的目标亮度数据B1；在非线性亮度变化信息(即，图1a中的灰阶值与亮度值对应的实线)中查找与该B1的差值在预设范围内的映射亮度数据B2，并根据该B2获取对应的映射灰阶值A2，最终根据A2和A1进行计算，得到LED显示屏的线性度亮度校正系数。
例如，假设设定2048为目标灰阶值，即2048灰阶为目标灰阶值A1，从图1a中可以看出，在基准亮度曲线中，该目标灰阶值(A1)对应的目标亮度数据为B1；基于该目标亮度数据B1，从非线性亮度变化信息(图1a中的实线)中获取与该目标亮度数据B1的差值在预设范围内的映射亮度数据，即图1a中示出的映射亮度数据B2，本实施例中，映射亮度数据B2和目标亮度数据B1之间的差值为零；值得注意的是，映射亮度数据B2和目标亮度数据B1之间的差值也可以不为零，该差值在预设范围内即可，预设范围可根据实际需要进行设定，此处并不对其进行限定；当获取到映射亮度数据B2后，基于该映射亮度数据B2获取对应的映射灰阶值A2，根据A2和目标灰阶值2048进行计算，可以得到LED显示屏在2048灰阶显示时的线性度亮度校正系数。
其中，获取与该目标亮度数据B1的差值在预设范围内的映射亮度数据还可以表现为：非线性度亮度变化信息中与目标亮度数据B1距离最近的亮度数据。
进一步的，由于设置基准亮度曲线为线性的，如图1a所示，基准亮度曲线可以表示为[0,LN*1/N,LN*2/N,LN*3/N,LN*4/N,…..LN*N/N]，且线性度亮度校正系数可以依据选取原始亮度数据中最接近基准亮度曲线的数据得到，例如，最接近LN*1/N的原始亮度为L0，最接近LN*2/N的原始亮度为L1,最接近LN*3/N的原始亮度为L1,最接近LN*4/N的原始亮度为L2，……；因此线性度亮度校正系数可以表示为[0,0,1,1,…..N]。经过该线性度亮度校正系数校正，可以将LED显示屏的亮度曲线映射为线性亮度。
可选的，步骤S104中根据亮色度非均匀信息计算LED显示屏的亮色度均匀性校正系数包括：获取亮色度非均匀信息中各分量的亮色度信息；分别计算各分量的亮色度信息的均值；依据各分量的亮色度信息的均值和各分量的亮色度信息进行计算，得到LED显示屏的亮色度均匀性校正系数。
其中，电脑通过亮色度计测量LED的亮色度，获取整个LED的亮色度非均匀信息，并依据该亮色度非均匀信息进行计算，得到亮色度均匀性校正系数；
在一种可实现的方式中，本申请实施例中的亮色度计可以包括：面/矩阵亮色度计，例如，数码相机/工业相机。
在一种可实现的方式中，获取亮色度非均匀信息中各分量的亮色度信息，通过分别计算各分量的亮色度信息的均值，依据各分量的亮色度信息的均值和各分量的亮色度信息进行计算，得到亮色度均匀性校正系数。
例如，获取LED中包含红色、绿色和蓝色的分量，其中每个分量又包含亮度信息Y和色度信息(X,Z)。红色分量拍摄到的信息可以表示为[Xr,Yr,Zr]，绿色分量采集到的信息可以表示为[Xg,Yg,Zg]，蓝色分量采集到的信息可以表示为[Xb,Yb,Zb]，通过取均值的方式计算红色绿色和蓝色分量的修正目标值分别为
Figure PCTCN2020082606-appb-000001
和
Figure PCTCN2020082606-appb-000002
Figure PCTCN2020082606-appb-000003
其中，
Figure PCTCN2020082606-appb-000004
表示红色Xr的均值，
Figure PCTCN2020082606-appb-000005
表示Yr的均值，
Figure PCTCN2020082606-appb-000006
表示Zr的均值；
Figure PCTCN2020082606-appb-000007
表示绿色Xg的均值，
Figure PCTCN2020082606-appb-000008
表示Yg的均值，
Figure PCTCN2020082606-appb-000009
表示Zg的均值；
Figure PCTCN2020082606-appb-000010
表示绿色Xb的均值，
Figure PCTCN2020082606-appb-000011
表示Yb的均值，
Figure PCTCN2020082606-appb-000012
表示Zb的均值。
再使用如下计算公式计算RGB分别的修正值(亮色度均匀性校正系数)：
Figure PCTCN2020082606-appb-000013
其中[Xr,Yr,Zr]表示[Xr,Yr,Zr]中的某一个像素点。其中[Xg,Yg,Zg]表示[Xg,Yg,Zg]中的某一个像素点。其中[Xb,Yb,Zb]表示[Xb,Yb,Zb]中的某一个像素点。
其中
Figure PCTCN2020082606-appb-000014
就是亮色度均匀性校正系数。
本申请实施例提供的图像处理方法极大地改善了现有技术存在的校正效果不佳的问题，提高画面显示质量。其中，将LED显示屏的线性度校正进入到LED的显示屏校正领域，从而大大推进LED显示屏的显示和校准的标准化，为未来LED显示屏进一步发展打下基础。
需要说明的是，本申请实施例中亮度计和亮色度计仅以上述示例为例进行说明，以实现本申请实施例提供的图像处理方法为准，具体不做限定。
实施例2
根据本发明实施例的另一个方面，提供了一种图像处理装置，图2是根据本发明实施例的图像处理装置的示意图，如图2所示，包括：第一计算模块22，用于获取LED显示屏的非线性亮度变化信息，并根据非线性亮度变化信息计算LED显示屏的线性度亮度校正系数；第二计算模块24，用于获取LED显示屏的亮色度非均匀信息，并根据亮色度非均匀信息计算LED显示屏的亮色度均匀性校正系数；校正模块26，用于依据线性度亮度校正系数和亮色度均匀性校正系数对输入的待处理图像进行校正。
可选的，第一计算模块22包括：第一采集单元，用于获取LED显示屏在多个灰阶显示时的亮度变化信息；第一计算单元，用于根据多个亮度变化信息获取LED显示屏的非线性亮度变化信息。
可选的，第一计算模块22还包括：第一获取单元，用于设置基准亮度曲线；其中，基准亮度曲线表征灰阶与亮度的基准线性变化关系；第一计算单元，用于根据基准亮度曲线和非线性亮度变化信息获取LED显示屏的线性度亮度校正系数。
进一步地，可选的，第一计算单元还包括：获取子单元，用于获取基准亮度曲线中目标灰阶值对应的目标亮度数据；第一查找子单元，用于在非线性亮度变化信息中 查找与目标亮度数据的差值在预设范围内的映射亮度数据；第二查找子单元，用于在非线性亮度变化信息中查找映射亮度数据对应的映射灰阶值；系数计算子单元，用于根据映射灰阶值和目标灰阶值计算LED显示屏的线性度亮度校正系数。
可选的，第二计算模块24包括：第二采集单元，用于获取亮色度非均匀信息中各分量的亮色度信息；第二计算子单元，用于分别计算各分量的亮色度信息的均值；第三计算子单元，用于依据各分量的亮色度信息的均值和各分量的亮色度信息进行计算，得到LED显示屏的亮色度均匀性校正系数。
需要说明的是，该实施例中第一计算模块22、第二计算模块24以及校正模块26的的具体功能细节可参考前述第一实施例中的详细描述，在此不再赘述。
实施例3
根据本发明实施例的又一个方面，提供了一种图像处理的系统，图3是根据本发明实施例的图像处理系统的示意图，如图3所示，包括：第一处理子系统，用于获取LED显示屏的非线性亮度变化信息，并根据非线性亮度变化信息计算LED显示屏的线性度亮度校正系数；以及获取LED显示屏的亮色度非均匀信息，并根据亮色度非均匀信息计算LED显示屏的亮色度均匀性校正系数；第二处理子系统，用于依据线性度亮度校正系数和亮色度均匀性校正系数对输入的待处理图像进行校正。
可选的，第一处理子系统31与第二处理子系统32集成于同一装置，或，第一处理子系统31与第二处理子系统32分别部署于多个装置。
进一步地，可选的，第一处理子系统为处理设备，第二处理子系统为显示控制器。
在一种可实现的方式中，本申请实施例提供的图像处理系统包括第一处理子系统31和第二处理子系统32，如图3所示，第一处理子系统31可以为离线处理系统，第二处理子系统可以为在线处理系统；离线处理系统包括：计算设备和采集设备，在本申请实施例中计算设备可以包括：笔记本电脑、台式电脑、平板电脑、超级计算机等能够满足数据计算处理需求的终端设备；采集设备包括：亮度计和亮色度计；其中，在本实施例中，离线和在线主要针对LED显示屏显示数据时的。
进一步地，亮度计采集LED显示屏的非线性亮度变化信息，或者计算设备根据亮度计采集的数据获取LED显示屏的非线性亮度变化信息；亮色度计采集LED显示屏的亮色度非均匀信息，或者计算设备根据亮色度计采集的数据LED显示屏的亮色度非均匀信息；计算设备，分别与亮度计和亮色度计连接，用于依据非线性亮度变化信息进行计算，得到线性度亮度校正系数；依据亮色度非均匀信息进行计算，得到亮色度 均匀性校正系数。
其中，在本申请实施例中离线处理系统中计算设备以笔记本电脑(以下简称电脑)为例，采集设备以亮度计和亮色度计为例，进行说明：
在根据非线性亮度变化信息计算LED显示屏的线性度亮度校正系数；以及根据亮色度非均匀信息计算LED显示屏的亮色度均匀性校正系数的过程中，离线系统包括如下方式：
方式一：
电脑通过亮度计采集到的LED显示屏的非线性亮度变化信息计算线性度亮度校正系数；
电脑通过亮色度计采集到的LED显示屏的亮色度非均匀信息，计算亮色度均匀性校正系数；
方式二：
通过亮度计采集LED显示屏显示的图像，由电脑从该图像中获取非线性亮度变化信息，进而依据该非线性亮度变化信息进行计算，得到线性度亮度校正系数；
通过亮色度计采集LED显示屏显示的图像，由电脑从该图像中获取亮色度非均匀信息，进而依据该亮色度非均匀信息进行计算，得到亮色度均匀性校正系数。
实施例4
根据本发明实施例的再一个方面，提供了一种非易失性存储介质，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中的图像处理方法。
实施例5
根据本发明实施例的再一个方面，提供了一种处理器，处理器用于运行存储在存储介质中的程序，其中，程序运行时执行上述实施例1中的图像处理方法。
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 (15)

  1. 一种图像处理方法，其特征在于，包括：
    获取LED显示屏的非线性亮度变化信息，并根据所述非线性亮度变化信息计算所述LED显示屏的线性度亮度校正系数；
    获取所述LED显示屏的亮色度非均匀信息，并根据所述亮色度非均匀信息计算所述LED显示屏的亮色度均匀性校正系数；
    依据所述线性度亮度校正系数和所述亮色度均匀性校正系数对输入的待处理图像进行校正。
  2. 根据权利要求1所述的方法，其特征在于，所述获取LED显示屏的非线性亮度变化信息包括：
    获取所述LED显示屏在多个灰阶显示时的亮度变化信息；
    根据所述亮度变化信息获取所述LED显示屏的非线性亮度变化信息。
  3. 根据权利要求1或2所述的方法，其特征在于，所述根据所述非线性亮度变化信息计算所述LED显示屏的线性度亮度校正系数包括：
    设置基准亮度曲线；其中，所述基准亮度曲线表征灰阶与亮度的基准线性变化关系；
    根据所述基准亮度曲线和所述非线性亮度变化信息获取所述LED显示屏的线性度亮度校正系数。
  4. 根据权利要求3所述的方法，其特征在于，所述根据所述基准亮度曲线和所述非线性亮度变化信息获取所述LED显示屏的线性度亮度校正系数包括：
    获取所述基准亮度曲线中目标灰阶值对应的目标亮度数据；
    在所述非线性亮度变化信息中查找与所述目标亮度数据的差值在预设范围内的映射亮度数据；
    在所述非线性亮度变化信息中查找所述映射亮度数据对应的映射灰阶值；
    根据所述映射灰阶值和所述目标灰阶值计算所述LED显示屏的线性度亮度校正系数。
  5. 根据权利要求1所述的方法，其特征在于，所述根据所述亮色度非均匀信息计算所述LED显示屏的亮色度均匀性校正系数包括：
    获取所述亮色度非均匀信息中各分量的亮色度信息；
    分别计算所述各分量的亮色度信息的均值；
    依据所述各分量的亮色度信息的均值和所述各分量的亮色度信息进行计算，得到所述LED显示屏的亮色度均匀性校正系数。
  6. 一种图像处理装置，其特征在于，包括：
    第一计算模块，用于获取LED显示屏的非线性亮度变化信息，并根据所述非线性亮度变化信息计算所述LED显示屏的线性度亮度校正系数；
    第二计算模块，用于获取所述LED显示屏的亮色度非均匀信息，并根据所述亮色度非均匀信息计算所述LED显示屏的亮色度均匀性校正系数；
    校正模块，用于依据所述线性度亮度校正系数和所述亮色度均匀性校正系数对输入的待处理图像进行校正。
  7. 根据权利要求6所述的装置，其特征在于，所述第一计算模块包括：
    第一采集单元，用于获取所述LED显示屏在多个灰阶显示时的亮度变化信息；
    第一计算单元，用于根据所述亮度变化信息获取所述LED显示屏的非线性亮度变化信息。
  8. 根据权利要求6或7所述的装置，其特征在于，所述第一计算模块还包括：
    第一获取单元，用于设置基准亮度曲线；其中，所述基准亮度曲线表征灰阶与亮度的基准线性变化关系；
    第一计算单元，用于根据所述基准亮度曲线和所述非线性亮度变化信息获取所述LED显示屏的线性度亮度校正系数。
  9. 根据权利要求8所述的装置，其特征在于，所述第一计算单元还包括：
    获取子单元，用于获取所述基准亮度曲线中目标灰阶值对应的目标亮度数据；
    第一查找子单元，用于在所述非线性亮度变化信息中查找与所述目标亮度数据的差值在预设范围内的映射亮度数据；
    第二查找子单元，用于在所述非线性亮度变化信息中查找所述映射亮度数据对应的映射灰阶值；
    系数计算子单元，用于根据所述映射灰阶值和所述目标灰阶值计算所述LED 显示屏的线性度亮度校正系数。
  10. 根据权利要求6所述的装置，其特征在于，所述第二计算模块包括：
    第二采集单元，用于获取所述亮色度非均匀信息中各分量的亮色度信息；
    第二计算子单元，用于分别计算所述各分量的亮色度信息的均值；
    第三计算子单元，用于依据所述各分量的亮色度信息的均值和所述各分量的亮色度信息进行计算，得到所述LED显示屏的亮色度均匀性校正系数。
  11. 一种图像处理的系统，其特征在于，包括：
    第一处理子系统，用于获取所述LED显示屏的非线性亮度变化信息，并根据所述非线性亮度变化信息计算所述LED显示屏的线性度亮度校正系数；以及获取所述LED显示屏的亮色度非均匀信息，并根据所述亮色度非均匀信息计算所述LED显示屏的亮色度均匀性校正系数；
    第二处理子系统，用于依据所述线性度亮度校正系数和所述亮色度均匀性校正系数对输入的待处理图像进行校正。
  12. 根据权利要求11所述的系统，其特征在于，所述第一处理子系统与所述第二处理子系统集成于同一装置，或，所述第一处理子系统与所述第二处理子系统分别部署于多个装置。
  13. 根据权利要求11或12所述的系统，其特征在于，所述第一处理子系统为处理设备，所述第二处理子系统为显示控制器。
  14. 一种非易失性存储介质，其特征在于，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5中任意一项所述的图像处理方法。
  15. 一种处理器，其特征在于，所述处理器用于运行存储在存储介质中的程序，其中，所述程序运行时执行权利要求1至5中任意一项所述的图像处理方法。
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