CN114693523A - Image color calibration method, device, electronic device and readable storage medium - Google Patents

Abstract

The present application discloses a method, device, electronic device, and readable storage medium for image color calibration, which are applied to the technical field of image processing. The image color calibration method includes: acquiring a display image corresponding to a display device; Perform nonlinear correction and saturation correction on the image to obtain a corrected image; map the corrected image to a preset standard color gamut to obtain a mapped image; perform white balance adjustment on the mapped image to obtain a first adjusted image, which is pre- The first adjusted image is adjusted in a volume color space to obtain a second adjusted image. The present application solves the technical problem of low color accuracy of displayed images in the prior art.

Description

Image color calibration method, device, electronic device and readable storage medium

technical field

The present application relates to the technical field of image processing, and in particular, to an image color calibration method, device, electronic device, and readable storage medium.

Background technique

With the rapid development of science and technology, the image processing technology has also become more and more mature. At present, the color calibration of the image adopts professionals to adjust the image signal according to the color difference of the displayed image of the display device. Due to human limitations, it is impossible to guarantee The display effect of each display device is consistent; the color sensitivity of the naked eye is limited, and the difference between the lower color standards cannot be discerned, resulting in a low color standard of the displayed image.

SUMMARY OF THE INVENTION

The main purpose of the present application is to provide an image color level correction method, device, electronic device and readable storage medium, which aims to solve the technical problem of low color level of displayed images in the prior art.

In order to achieve the above object, the present application provides an image color calibration method, which is applied to an image color calibration device, and the image color calibration method includes:

Obtain the display screen image corresponding to the display device;

Perform nonlinear correction and saturation correction on the display image to obtain a corrected image;

mapping the corrected image to a preset standard color gamut to obtain a mapped image;

Performing white balance adjustment on the mapped image to obtain a first adjusted image, and adjusting the first adjusted image in a preset stereoscopic color space to obtain a second adjusted image.

Optionally, the performing nonlinear correction on the display image includes:

performing normalization processing on the display screen image to obtain a processing result;

performing pre-compensation calculation on the processing result according to the non-linearization value corresponding to the display device to obtain a compensation result;

Perform inverse normalization processing on the compensation result to obtain a non-linear corrected image.

Optionally, the step of mapping the corrected image to a preset standard color gamut to obtain the mapped image includes:

normalizing the corrected image to obtain an input image;

According to the conversion coefficient determined by the color gamut corresponding to the input image and the preset standard color gamut, the input image is mapped to the preset standard color gamut to obtain an output image;

De-normalize the output image to obtain a mapped image.

Optionally, the step of performing white balance adjustment on the mapped image to obtain the first adjusted image includes:

Counting the white points and non-white points of the mapped image;

Calculate the first white balance gain of the white point, and determine and obtain the second white balance gain of the non-white point according to the first white balance gain of the white point;

According to the first white balance gain and the second white balance gain, white balance adjustment is performed on the mapped image to obtain a first adjusted image.

Optionally, the step of adjusting the first adjusted image in a preset stereoscopic color space to obtain a second adjusted image includes:

acquiring color boundary points of the first adjusted image;

According to the preset standard color gamut, the color boundary points are adjusted to obtain a second adjusted image.

Optionally, the step of adjusting the first adjusted image in a preset stereoscopic color space to obtain a second adjusted image includes:

acquiring an image gradient map of the first adjusted image, and selecting a color step point according to the image gradient map;

According to the preset standard color gamut, the color step point is adjusted to obtain a second adjusted image.

Optionally, after the steps of performing white balance adjustment on the mapped image to obtain a first adjusted image, and adjusting the first adjusted image in a preset stereoscopic color space to obtain a second adjusted image, the The image color calibration method also includes:

judging whether the color difference value corresponding to the second adjusted image is greater than a preset color difference threshold;

If so, it is determined that the color calibration of the image fails, and the execution step is returned to: acquiring the display screen image corresponding to the display device;

If not, it is determined that the color calibration of the image is successful.

In order to achieve the above purpose, the present application also provides an image color alignment correction device, the image color alignment correction device is applied to an image color alignment correction device, and the image color alignment correction device includes:

an acquisition module, used to acquire the display screen image corresponding to the display device;

a correction module, configured to perform nonlinear correction and saturation correction on the display image to obtain a corrected image;

a mapping module, configured to map the corrected image to a preset standard color gamut to obtain a mapped image;

An adjustment module, configured to perform white balance adjustment on the mapped image to obtain a first adjusted image, and adjust the first adjusted image in a preset stereoscopic color space to obtain a second adjusted image.

Optionally, in the step of performing nonlinear correction on the display image, the correction module is further configured to:

performing normalization processing on the display screen image to obtain a processing result;

performing pre-compensation calculation on the processing result according to the non-linearization value corresponding to the display device to obtain a compensation result;

Perform inverse normalization processing on the compensation result to obtain a non-linear corrected image.

Optionally, in the step of mapping the corrected image to a preset standard color gamut to obtain a mapped image, the mapping module is further configured to:

normalizing the corrected image to obtain an input image;

According to the conversion coefficient determined by the color gamut corresponding to the input image and the preset standard color gamut, the input image is mapped to the preset standard color gamut to obtain an output image;

De-normalize the output image to obtain a mapped image.

Optionally, in the step of performing white balance adjustment on the mapped image, the adjustment module is further configured to:

Counting the white points and non-white points of the mapped image;

Calculate the first white balance gain of the white point, and determine and obtain the second white balance gain of the non-white point according to the first white balance gain of the white point;

According to the first white balance gain and the second white balance gain, white balance adjustment is performed on the mapped image to obtain a first adjusted image.

Optionally, in the step of adjusting the first adjusted image in a preset stereoscopic color space to obtain a second adjusted image, the adjustment module is further configured to:

acquiring color boundary points of the first adjusted image;

According to the preset standard color gamut, the color boundary points are adjusted to obtain a second adjusted image.

Optionally, in the step of adjusting the first adjusted image in a preset stereoscopic color space to obtain a second adjusted image, the adjustment module is further configured to:

acquiring an image gradient map of the first adjusted image, and selecting a color step point according to the image gradient map;

According to the preset standard color gamut, the number of color points is adjusted to obtain a second adjusted image.

Optionally, after the steps of performing white balance adjustment on the mapped image to obtain a first adjusted image, and adjusting the first adjusted image in a preset stereoscopic color space to obtain a second adjusted image, the The adjustment module described above is also used to:

judging whether the color difference value corresponding to the second adjusted image is greater than a preset color difference threshold;

If so, it is determined that the color calibration of the image fails, and the execution step is returned to: acquiring the display screen image corresponding to the display device;

If not, it is determined that the color calibration of the image is successful.

The present application also provides an electronic device, the electronic device comprising: a memory, a processor, and a program of the image color calibration method stored on the memory and executable on the processor, the image color calibration method When the program of the quasi-calibration method is executed by the processor, the steps of the above-mentioned image chromatic calibration method can be realized.

The present application also provides a computer-readable storage medium, where a program for implementing the method for calibrating an image is stored thereon, and when the program for the method for calibrating an image is executed by a processor, the above-mentioned image is realized. The steps of the color calibration method.

The present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the above-mentioned image color calibration method.

The present application provides an image color calibration method, device, electronic device and readable storage medium. Compared with the method used in the prior art for professionals to adjust the image signal according to the color difference of the displayed image of the display device, the present invention The application obtains a display screen image corresponding to a display device; performs nonlinear correction and saturation correction on the display screen image to obtain a corrected image; maps the corrected image to a preset standard color gamut to obtain a mapped image; performing white balance adjustment on the mapped image to obtain a first adjustment image, and adjusting the first adjustment image in a preset stereoscopic color space to obtain a second adjustment image, and performing nonlinear correction and white balance adjustment on the image, The calibration compensates for the difference in color and brightness of the output images of different display devices. By performing color gamut mapping, saturation correction on the image, and adjusting the image in the preset stereo color space, the image is adjusted to the standard color gamut to ensure different The consistency of the output image of the display device avoids the use of professionals based on the color difference of the displayed image of the display device. When adjusting the image signal, due to the limited color sensitivity of the naked eye, the difference between the lower color standards cannot be distinguished, resulting in display The technical defect of low image color accuracy, thereby improving the color accuracy of the displayed image.

Description of drawings

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

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the accompanying drawings that need to be used in the description of the embodiments or the prior art. In other words, on the premise of no creative labor, other drawings can also be obtained from these drawings.

FIG. 1 is a schematic flowchart of a first embodiment of an image color calibration method of the present application;

FIG. 2 is a schematic flowchart of the second embodiment of the image color calibration method of the present application;

FIG. 3 is a schematic diagram of a device structure of a hardware operating environment involved in a method for calibrating an image in an embodiment of the present application.

The realization, functional features and advantages of the present application will be further described with reference to the accompanying drawings in conjunction with the embodiments.

Detailed ways

In order to make the above objects, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the protection scope of the present invention.

Example 1

An embodiment of the present application provides an image color calibration method. In the first embodiment of the image color calibration method of the present application, referring to FIG. 1 , the image color calibration method includes:

Step S10, acquiring a display screen image corresponding to the display device;

Step S20, performing nonlinear correction and saturation correction on the display screen image to obtain a corrected image;

Exemplarily, steps S10 to S20 include: after acquiring the display screen image corresponding to the display device, converting the display screen image to the RGB (Red, Green, Blue, red, green, and blue three primary colors) color space to obtain the first Converting the image, by performing linear tone editing on the first converted image, detecting the dark part and the light part of the first converted image, and adjusting the ratio of the dark part and the light part to obtain a non-converted image. Linearize the corrected image; convert the nonlinear corrected image to the HSV (Hue, Saturation, Value, Hue, Saturation, Lightness) color space to obtain a second converted image, and according to the preset standard color gamut, for the first Second, adjust the S channel value of the converted image to complete the correction of saturation and obtain a corrected image, wherein the preset standard color gamut is the preset standard color gamut for image correction, and the nonlinear correction can be GAMMA (Gamma, derived from the response curve of a monitor or TV) correction.

Wherein, in step S20, the non-linear correction of the display screen image includes:

Step S21, performing normalization processing on the display screen image to obtain a processing result;

Step S22, performing pre-compensation calculation on the processing result according to the nonlinearization value corresponding to the display device, to obtain a compensation result;

Step S23, performing inverse normalization processing on the compensation result to obtain a non-linear correction image.

In this embodiment, it should be noted that the non-linearization value is the linear part in the digital luminance value of the input terminal and the corresponding characteristic curve of the display terminal, and the non-linearization value is determined by the properties of the display device.

As an example, steps S21 to S23 include: converting the display screen image to the HSV color space to obtain a first converted image, by converting the V channel value of the first converted image to a range of 0-1 performing normalization processing on the real numbers to obtain a processing result; according to the non-linearization value corresponding to the display device, performing an exponential operation on the non-linearization value, and performing pre-compensation calculation on the processing result to obtain a compensation result; The compensation result is de-normalized to obtain a non-linear corrected image.

As an example, steps S21 to S23 include: converting the display image to the LAB color space to obtain a first converted image, by converting the L channel value of the first converted image into a range of 0-1 performing normalization processing on the real numbers to obtain a processing result; according to the non-linearization value corresponding to the display device, performing an exponential operation on the non-linearization value, and performing pre-compensation calculation on the processing result to obtain a compensation result; The compensation result is de-normalized to obtain a non-linear corrected image.

As an example, steps S21 to S23 include: converting the display screen image into the YUV color space to obtain a first converted image, by converting the Y channel value of the first converted image into a range of 0-1 performing normalization processing on the real numbers to obtain a processing result; according to the non-linearization value corresponding to the display device, performing an exponential operation on the non-linearization value, and performing pre-compensation calculation on the processing result to obtain a compensation result; The compensation result is de-normalized to obtain a non-linear corrected image.

Step S30, mapping the corrected image to a preset standard color gamut to obtain a mapped image;

In this embodiment, it should be noted that the color gamut is the color range that can be displayed or acquired by a given color medium under given observation conditions.

Exemplarily, step S30 includes: adjusting the corrected image according to a preset standard color gamut to obtain a mapping image.

Wherein, in step S30, the step of mapping the corrected image to a preset standard color gamut to obtain the mapped image includes:

Step S31, normalizing the corrected image to obtain an input image;

Step S32, mapping the input image to the preset standard color gamut according to the conversion coefficient determined by the color gamut corresponding to the input image and the preset standard color gamut to obtain an output image;

Step S33, performing inverse normalization processing on the output image to obtain a mapping image.

Exemplarily, steps S31 to S33 include: converting the corrected image into the RGB color space to obtain a third converted image, and performing normalization processing by converting the third converted image into a real number in the range of 0-1 , obtain an input image; extract the color gamut boundary between the input image and the preset standard color gamut, and determine the conversion coefficient between the color gamut corresponding to the input image and the preset standard color gamut according to the color gamut boundary, The output image is obtained by calculating the product of the input image and the conversion coefficient; the output image is denormalized to obtain a mapping image.

Step S40, performing white balance adjustment on the mapped image to obtain a first adjusted image, and adjusting the first adjusted image in a preset three-dimensional color space to obtain a second adjusted image;

In this embodiment, it should be noted that the preset stereoscopic color space is a preset color space determined according to the image processing capability corresponding to the display device.

Exemplarily, step S40 includes: acquiring a white balance gain corresponding to a pixel of the mapped image, and adjusting the pixel according to the white balance gain to obtain a first adjusted image; acquiring the first adjusted image at The color boundary point or the color step point in the stereoscopic color space is preset, and the color boundary point or the color step point is adjusted to obtain a second adjusted image.

Wherein, in step S40, the step of performing white balance adjustment on the mapped image to obtain a first adjusted image includes:

Step A10, counting the white points and non-white points of the mapped image;

Step A20, calculating the first white balance gain of the white point, and determining and obtaining the second white balance gain of the non-white point according to the first white balance gain of the white point;

Step A30: Perform white balance adjustment on the mapped image according to the first white balance gain and the second white balance gain to obtain a first adjusted image.

Exemplarily, steps A10 to A30 include: judging whether the image corresponding to the mapped image is a mixed color temperature image, and if the image corresponding to the mapped image is a mixed color temperature image, count the white points into one category, and count the non-white points. The points are classified into one category; the adjacent white points are connected as standard light source lines, and the area surrounded by the standard light source lines in the coordinate system is the white balance gray area. The corresponding RGB image pixel values on the area are calculated, and the first white balance gain corresponding to the white point is calculated; the second white balance gain of the non-white point is determined according to the first white balance gain; according to the first white balance gain, The white point is adjusted, and the non-white point is adjusted according to the second white balance gain to obtain a first adjusted image.

Wherein, in step S40, the step of adjusting the first adjusted image in a preset stereoscopic color space to obtain a second adjusted image includes:

Step B10, acquiring the color boundary points of the first adjusted image;

Exemplarily, step B10 includes: acquiring the pixel points of the first adjusted image in a preset stereo color space, and judging whether the RGB channel values of the pixel point and the adjacent pixel points are greater than a preset RGB threshold; If the RGB channel value of the pixel point and the adjacent pixel point is greater than the preset RGB threshold, it is determined that the pixel point is a color boundary point; if the RGB channel value of the pixel point and the adjacent pixel point is not greater than the preset RGB If the threshold value is set, it is determined that the pixel point is not a color boundary point, wherein the preset RGB threshold is a preset threshold value of the RGB difference between adjacent pixel points when it is determined that the pixel point is a color boundary point.

Step B20, adjusting the color boundary points according to the preset standard color gamut to obtain a second adjusted image.

Exemplarily, step B20 includes: adjusting the RGB channel values of the color boundary points according to the RGB channel values corresponding to the preset standard color gamut to obtain a second adjusted image.

Wherein, in step S40, the step of adjusting the first adjusted image in the preset stereoscopic color space to obtain the second adjusted image further includes:

Step C10, acquiring an image gradient map of the first adjusted image, and selecting a color step point according to the image gradient map;

In this embodiment, it should be noted that the image gradient is the rate of change of a certain pixel of the image in the x and y directions.

Exemplarily, step C10 includes: by acquiring the image gradient of a pixel of the first adjusted image in a preset stereoscopic color space, judging whether the image gradient of the pixel is greater than a preset image gradient threshold, if the pixel is If the image gradient of the point is greater than the preset image gradient threshold, it is determined that the pixel point is a color step point, and the color step point is selected; if the image gradient of the pixel point is not greater than the preset image gradient threshold, it is determined that the pixel point is a color step point. The pixel point is not a color step point.

Step C20: Adjust the number of color points according to the preset standard color gamut to obtain an adjusted image.

Exemplarily, step C10 includes: adjusting the RGB channel value of the color step point according to the RGB channel value corresponding to the preset standard color gamut to obtain a second adjusted image.

The embodiment of the present application provides an image color calibration method. Compared with the method used in the prior art for professionals to adjust the image signal according to the color difference of the displayed image of the display device, the embodiment of the present application obtains the corresponding information of the display device. the display screen image; perform nonlinear correction and saturation correction on the display screen image to obtain a corrected image; map the corrected image to a preset standard color gamut to obtain a mapped image; perform white balance on the mapped image Adjusting to obtain a first adjustment image, and adjusting the first adjustment image in a preset stereo color space to obtain a second adjustment image, and performing nonlinear correction and white balance adjustment on the image to correct and compensate different display devices The color and brightness of the output image show differences. By performing color gamut mapping, saturation correction, and adjusting the image in the preset stereo color space, the image is adjusted to the standard color gamut to ensure that the output images of different display devices are consistent. It avoids the use of professionals based on the color difference of the displayed image of the display device. When adjusting the image signal, due to the limited color sensitivity of the naked eye, it is impossible to distinguish the difference between the lower color standards, resulting in the low color accuracy of the displayed image. defects, thereby improving the color accuracy of the displayed image.

Embodiment 2

Further, referring to FIG. 2 , based on the first embodiment of the present application, in another embodiment of the present application, for the same or similar content as the above-mentioned first embodiment, reference may be made to the above introduction, and no further description will be given in the following. On this basis, in step S40, a first adjusted image is obtained by performing white balance adjustment on the mapped image, and the first adjusted image is adjusted in a preset stereoscopic color space to obtain a first adjusted image. After the second step of adjusting the image, the image color calibration method further includes:

Step S41, judging whether the color difference value corresponding to the second adjustment image is greater than a preset color difference threshold;

Step S42, if yes, it is determined that the color calibration of the image fails, and the execution step is returned to: acquiring the display screen image corresponding to the display device;

Step S43, if no, it is determined that the color calibration of the image is successful.

In this embodiment, it should be noted that the preset chromatic aberration threshold is a preset chromatic aberration threshold for judging that the image chromatic calibration is successful.

Exemplarily, steps S41 to S43 include: judging whether the color difference value corresponding to the second adjusted image is greater than a preset color difference threshold, and if the color difference value corresponding to the adjusted image is greater than the preset color difference threshold, determining the color of the image. If the calibration fails, return to the execution step: acquiring the display screen image corresponding to the display device; if the color difference value corresponding to the adjusted image is not greater than the preset color difference threshold, it is determined that the color calibration of the image is successful.

The embodiment of the present application provides an image color calibration method. Compared with the method used in the prior art for professionals to adjust the image signal according to the color difference of the displayed image of the display device, the embodiment of the present application obtains the corresponding information of the display device. the display screen image; perform nonlinear correction and saturation correction on the display screen image to obtain a corrected image; map the corrected image to a preset standard color gamut to obtain a mapped image; perform white balance on the mapped image Adjusting to obtain a first adjustment image, and adjusting the first adjustment image in a preset stereo color space to obtain a second adjustment image, and performing nonlinear correction and white balance adjustment on the image to correct and compensate different display devices The color and brightness of the output image show differences. By performing color gamut mapping, saturation correction, and adjusting the image in the preset stereo color space, the image is adjusted to the standard color gamut to ensure that the output images of different display devices are consistent. It avoids the use of professionals based on the color difference of the displayed image of the display device. When adjusting the image signal, due to the limited color sensitivity of the naked eye, it is impossible to distinguish the difference between the lower color standards, resulting in the low color accuracy of the displayed image. defects, thereby improving the color accuracy of the displayed image.

Embodiment 3

The embodiment of the present application further provides an image color alignment correction device, the image color alignment correction device is applied to an image color alignment correction device, and the image color alignment correction device includes:

an acquisition module, used to acquire the display screen image corresponding to the display device;

a correction module, configured to perform nonlinear correction and saturation correction on the display image to obtain a corrected image;

a mapping module, configured to map the corrected image to a preset standard color gamut to obtain a mapped image;

An adjustment module, configured to perform white balance adjustment on the mapped image to obtain a first adjusted image, and adjust the first adjusted image in a preset stereoscopic color space to obtain a second adjusted image.

Optionally, in the step of performing nonlinear correction on the display image, the correction module is further configured to:

performing normalization processing on the display screen image to obtain a processing result;

performing pre-compensation calculation on the processing result according to the non-linearization value corresponding to the display device to obtain a compensation result;

Perform inverse normalization processing on the compensation result to obtain a non-linear corrected image.

Optionally, in the step of mapping the corrected image to a preset standard color gamut to obtain a mapped image, the mapping module is further configured to:

normalizing the corrected image to obtain an input image;

According to the conversion coefficient determined by the color gamut corresponding to the input image and the preset standard color gamut, the input image is mapped to the preset standard color gamut to obtain an output image;

De-normalize the output image to obtain a mapped image.

Optionally, in the step of performing white balance adjustment on the mapped image, the adjustment module is further configured to:

Counting the white points and non-white points of the mapped image;

Calculate the first white balance gain of the white point, and determine and obtain the second white balance gain of the non-white point according to the first white balance gain of the white point;

According to the first white balance gain and the second white balance gain, white balance adjustment is performed on the mapped image to obtain a first adjusted image.

Optionally, in the step of adjusting the first adjusted image in a preset stereoscopic color space to obtain a second adjusted image, the adjustment module is further configured to:

acquiring color boundary points of the first adjusted image;

According to the preset standard color gamut, the color boundary points are adjusted to obtain a second adjusted image.

Optionally, in the step of adjusting the first adjusted image in a preset stereoscopic color space to obtain a second adjusted image, the adjustment module is further configured to:

acquiring an image gradient map of the first adjusted image, and selecting a color step point according to the image gradient map;

According to the preset standard color gamut, the number of color points is adjusted to obtain a second adjusted image.

Optionally, after the steps of performing white balance adjustment on the mapped image to obtain a first adjusted image, and adjusting the first adjusted image in a preset stereoscopic color space to obtain a second adjusted image, the The adjustment module described above is also used to:

judging whether the color difference value corresponding to the second adjusted image is greater than a preset color difference threshold;

If so, it is determined that the color calibration of the image fails, and the execution step is returned to: acquiring the display screen image corresponding to the display device;

If not, it is determined that the color calibration of the image is successful.

The image color calibration device provided by the present invention adopts the image color calibration method in the above-mentioned embodiments to solve the technical problem of low color calibration of the displayed image. Compared with the prior art, the beneficial effects of the image color alignment correction device provided by the embodiments of the present invention are the same as those of the image color alignment correction method provided by the above-mentioned embodiments, and other technical features of the image color alignment correction device are the same. The disclosed features of the methods in the above embodiments are the same, and are not repeated here.

Embodiment 4

An embodiment of the present invention provides an electronic device, the electronic device includes: at least one processor; and a memory connected in communication with the at least one processor; wherein, the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor. The processor executes, so that at least one processor can execute the image color level correction method in the first embodiment.

Referring next to FIG. 3 , it shows a schematic structural diagram of an electronic device suitable for implementing an embodiment of the present disclosure. The electronic devices in the embodiments of the present disclosure may include, but are not limited to, such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablets), PMPs (portable multimedia players), vehicle-mounted terminals (eg, mobile terminals such as in-vehicle navigation terminals), etc., and stationary terminals such as digital TVs, desktop computers, and the like. The electronic device shown in FIG. 3 is only an example, and should not impose any limitation on the function and scope of use of the embodiments of the present disclosure.

As shown in FIG. 3, an electronic device may include processing means (eg, a central processing unit, a graphics processor, etc.), which may be loaded into a random access memory (RAM) according to a program stored in a read only memory (ROM) or from a storage device to execute various appropriate actions and processes. In the RAM, various programs and data necessary for the operation of the electronic device are also stored. The processing device, the ROM, and the RAM are connected to each other through a bus. Input/output (I/O) interfaces are also connected to the bus.

Typically, the following systems can be connected to the I/O interface: input devices including, for example, touchscreens, touchpads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; including, for example, liquid crystal displays (LCDs), speakers, vibrators output devices, etc.; storage devices including, for example, magnetic tapes, hard disks, etc.; and communication devices. Communication means may allow electronic devices to communicate wirelessly or by wire with other devices to exchange data. While the figures show electronic devices having various systems, it should be understood that not all of the systems shown are required to be implemented or available. More or fewer systems may alternatively be implemented or provided.

In particular, according to embodiments of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the method illustrated in the flowchart. In such an embodiment, the computer program may be downloaded and installed from a network via a communication device, or from a storage device, or from a ROM. When the computer program is executed by the processing apparatus, the above-mentioned functions defined in the methods of the embodiments of the present disclosure are executed.

The electronic device provided by the present invention adopts the image color calibration method in the first embodiment or the second embodiment, so as to solve the technical problem of low color accuracy of the displayed image. Compared with the prior art, the beneficial effects of the electronic device provided by the embodiment of the present invention are the same as those of the image color calibration method provided by the first embodiment, and other technical features of the electronic device are disclosed with the method of the above embodiment. The features are the same and will not be repeated here.

It should be understood that portions of the present disclosure may be implemented in hardware, software, firmware, or a combination thereof. In the foregoing description of the embodiments, the particular features, structures, materials or characteristics may be combined in any suitable manner in any one or more of the embodiments or examples.

The above are only specific embodiments of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention. should be included within the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Embodiment 5

This embodiment provides a computer-readable storage medium having computer-readable program instructions stored thereon, where the computer-readable program instructions are used to execute the method for image color calibration in the first embodiment.

The computer-readable storage medium provided by the embodiment of the present invention may be, for example, a U disk, but is not limited to an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, system or device, or any combination of the above. More specific examples of computer readable storage media may include, but are not limited to, electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read only memory (ROM), erasable Programmable read only memory (EPROM or flash memory), fiber optics, portable compact disk read only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing. In this embodiment, the computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, system, or device. Program code embodied on a computer-readable storage medium may be transmitted using any suitable medium including, but not limited to, electrical wire, optical fiber cable, RF (radio frequency), etc., or any suitable combination of the foregoing.

The above-mentioned computer-readable storage medium may be included in the electronic device; or may exist alone without being assembled into the electronic device.

The computer-readable storage medium carries one or more programs, and when the one or more programs are executed by the electronic device, the electronic device: acquires a display screen image corresponding to the display device; nonlinearizes the display screen image Correction and saturation correction to obtain a corrected image; map the corrected image to a preset standard color gamut to obtain a mapped image; perform white balance adjustment on the mapped image to obtain a first adjusted image, which is in a preset stereo color space The first adjusted image is adjusted to obtain a second adjusted image.

Computer program code for carrying out operations of the present disclosure may be written in one or more programming languages, including object-oriented programming languages—such as Java, Smalltalk, C++, but also conventional Procedural programming language - such as the "C" language or similar programming language. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer, or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (eg, using an Internet service provider through Internet connection).

The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code that contains one or more logical functions for implementing the specified functions executable instructions. It should also be noted that, in some alternative implementations, the functions noted in the blocks may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It is also noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented in dedicated hardware-based systems that perform the specified functions or operations , or can be implemented in a combination of dedicated hardware and computer instructions.

The modules involved in the embodiments of the present disclosure may be implemented in software or hardware. Among them, the name of the module does not constitute a limitation of the unit itself under certain circumstances.

The computer-readable storage medium provided by the present invention stores computer-readable program instructions for executing the above-mentioned image color calibration method, and solves the technical problem of low color accuracy of displayed images. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the embodiments of the present invention are the same as the beneficial effects of the image color calibration method provided by the above implementation, and are not repeated here.

Embodiment 6

The present application also provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the above-mentioned image color calibration method.

The computer program product provided by the present application solves the technical problem of low color accuracy of displayed images. Compared with the prior art, the beneficial effects of the computer program product provided by the embodiments of the present invention are the same as the beneficial effects of the image color calibration method provided by the above-mentioned embodiments, which will not be repeated here.

The above are only the preferred embodiments of the present application, and are not intended to limit the patent scope of the present application. Any equivalent structure or equivalent process transformation made by using the contents of the description and drawings of the present application, or directly or indirectly applied in other related technical fields , are similarly included within the scope of patent processing of this application.

Claims (10)

1. An image color tone correction method, comprising:

acquiring a display picture image corresponding to display equipment;

carrying out nonlinear correction and saturation correction on the display picture image to obtain a corrected image;

mapping the corrected image to a preset standard color gamut to obtain a mapped image;

and carrying out white balance adjustment on the mapping image to obtain a first adjustment image, and adjusting the first adjustment image in a preset three-dimensional color space to obtain a second adjustment image.

2. The image tone correction method of claim 1, wherein said non-linearly correcting said display screen image comprises:

normalizing the display picture image to obtain a processing result;

according to the nonlinear value corresponding to the display equipment, performing precompensation calculation on the processing result to obtain a compensation result;

and performing inverse normalization processing on the compensation result to obtain a nonlinear correction image.

3. The image tone correction method of claim 1, wherein the step of mapping the corrected image to a preset standard color gamut to obtain a mapped image comprises:

normalizing the corrected image to obtain an input image;

mapping the input image to a preset standard color gamut according to a conversion coefficient determined by a color gamut corresponding to the input image and the preset standard color gamut to obtain an output image;

and performing inverse normalization processing on the output image to obtain a mapping image.

4. The image color gamut correction method according to claim 1, wherein said step of performing a white balance adjustment on said mapped image to obtain a first adjusted image comprises:

counting white points and non-white points of the mapping image;

calculating a first white balance gain of the white point, and determining a second white balance gain of a non-white point according to the first white balance gain of the white point;

and carrying out white balance adjustment on the mapping image according to the first white balance gain and the second white balance gain to obtain a first adjustment image.

5. The image color gamut correction method according to claim 1, wherein the step of adjusting the first adjusted image in a predetermined stereo color space to obtain a second adjusted image comprises:

acquiring color boundary points of the first adjustment image;

and adjusting the color boundary points according to the preset standard color gamut to obtain a second adjusted image.

6. The image color gamut correction method according to claim 1, wherein the step of adjusting the first adjusted image in a predetermined stereo color space to obtain a second adjusted image further comprises:

acquiring an image gradient map of the first adjustment image, and selecting color step points according to the image gradient map;

and adjusting the color step points according to the preset standard color gamut to obtain a second adjusted image.

7. The image color gamut correction method according to claim 1, wherein after the steps of performing white balance adjustment on the mapping image to obtain a first adjustment image, and performing adjustment on the first adjustment image in a preset stereo color space to obtain a second adjustment image, the image color gamut correction method further comprises:

judging whether the color difference value corresponding to the second adjustment image is larger than a preset color difference threshold value or not;

if yes, judging that the image color calibration fails, and returning to the execution step: acquiring a display picture image corresponding to display equipment;

if not, the image color level correction is judged to be successful.

8. An image color gamut correction device, comprising:

the acquisition module is used for acquiring a display picture image corresponding to the display equipment;

the correction module is used for carrying out nonlinear correction and saturation correction on the display picture image to obtain a corrected image;

the mapping module is used for mapping the corrected image to a preset standard color gamut to obtain a mapped image;

and the adjusting module is used for carrying out white balance adjustment on the mapping image to obtain a first adjusting image, and adjusting the first adjusting image in a preset three-dimensional color space to obtain a second adjusting image.

9. An electronic device, characterized in that the electronic device comprises:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the steps of the image color gamut correction method of any one of claims 1 to 7.

10. A computer-readable storage medium, having stored thereon a program for implementing an image color gamut correction method, the program being executable by a processor to implement the steps of the image color gamut correction method according to any one of claims 1 to 7.

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