CN110047415B - Color gamut mapping method, electronic device and storage medium - Google Patents

Color gamut mapping method, electronic device and storage medium Download PDF

Info

Publication number
CN110047415B
CN110047415B CN201910269555.9A CN201910269555A CN110047415B CN 110047415 B CN110047415 B CN 110047415B CN 201910269555 A CN201910269555 A CN 201910269555A CN 110047415 B CN110047415 B CN 110047415B
Authority
CN
China
Prior art keywords
color
gamut
color gamut
point
color point
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201910269555.9A
Other languages
Chinese (zh)
Other versions
CN110047415A (en
Inventor
饶洋
彭乐立
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
TCL Huaxing Photoelectric Technology Co Ltd
Original Assignee
TCL Huaxing Photoelectric Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by TCL Huaxing Photoelectric Technology Co Ltd filed Critical TCL Huaxing Photoelectric Technology Co Ltd
Priority to CN201910269555.9A priority Critical patent/CN110047415B/en
Publication of CN110047415A publication Critical patent/CN110047415A/en
Application granted granted Critical
Publication of CN110047415B publication Critical patent/CN110047415B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • 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
    • G09G3/2003—Display of colours
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2310/00—Command of the display device
    • G09G2310/02—Addressing, scanning or driving the display screen or processing steps related thereto
    • G09G2310/0235—Field-sequential colour display
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2320/00—Control of display operating conditions
    • G09G2320/06—Adjustment of display parameters
    • G09G2320/0666—Adjustment of display parameters for control of colour parameters, e.g. colour temperature
    • G—PHYSICS
    • G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
    • G09G—ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICES USING STATIC MEANS TO PRESENT VARIABLE INFORMATION
    • G09G2340/00—Aspects of display data processing
    • G09G2340/06—Colour space transformation

Abstract

The present disclosure provides a color gamut mapping method, an electronic device, and a storage medium, including: the method comprises the steps of obtaining a digital value of an original color point, finally obtaining a Lab value according to the digital value, determining a hue plane boundary outline of the color point according to the Lab value, judging a region where the color point is located, calculating a boundary slope and an adjustment parameter value of the boundary outline if the color point is outside the target region, calculating a new color point coordinate position according to the new color point coordinate position, obtaining the Lab value according to the new color point position, finally calculating an RGB digital value corresponding to the new color point, and outputting the digital value in the panel color domain.

Description

Color gamut mapping method, electronic device and storage medium
Technical Field
The present disclosure relates to the field of image processing technologies, and in particular, to a color gamut mapping method, an electronic device, and a storage medium.
Background
With the continuous development of display technologies and multimedia display devices, the display screen gradually shows a diversified trend. Different display devices have different color representations, however, the problem of gamut mapping and matching between display devices is becoming increasingly prominent.
In the prior art, a commonly used image processing technique is the Gamut Mapping algorithm, which processes a Target color Gamut (Target) and a panel color Gamut (CSOT). With this algorithm, all the colors outside the target gamut area are clipped to the boundary of the target gamut, and the colors within the gamut are directly output. Specifically, during the calculation, the gamut region is mapped onto the gamut boundary according to the lowest color difference principle, and the out-of-gamut point is mapped along the direction toward the point on the luminance axis and is mapped onto the gamut boundary. However, in this algorithm, when the area of the target color gamut completely contains the content of the panel color gamut, the mapping effect is good, and when the area of the target color gamut does not completely contain the area of the panel color gamut, or there is a cross region between the target color gamut and the panel color gamut, the mapping will be problematic, and meanwhile, there are various situations in the boundary contour of the actual color gamut, and this difference directly causes the situation of poor mapping uniformity.
In summary, in the conventional image processing technology, when a target algorithm is run, there are many situations in an actual color gamut boundary contour, and meanwhile, when an out-of-color gamut point is mapped to an in-color gamut region, the mapping uniformity is poor, and various color gamut conditions cannot be processed, so that a color gamut mapping algorithm having general applicability to various color gamut conditions needs to be designed.
Disclosure of Invention
The present disclosure provides a gamut mapping method, an electronic device, and a storage medium, so as to solve the problems in the prior art that when an image is processed, an actual gamut boundary contour has various situations, and meanwhile, when an out-of-gamut point is mapped to an in-gamut region, the mapping uniformity is poor, and various gamut situations cannot be processed.
To solve the above technical problem, the technical solution provided by the embodiment of the present disclosure is as follows:
according to a first aspect of the embodiments of the present disclosure, there is provided a color gamut mapping method, including the steps of:
s100: determining a panel gamut and a target gamut within the same gamut space, inputting a digital value of an original color point P in the target gamut,
s101: obtaining a color space (Lab) value of the color point P, obtaining a hue angle (H), a chroma coordinate (C) and a brightness coordinate (L) value through the color space value, and determining a plane boundary profile of a color gamut where the color point P is located and coordinate positions (C) of the chroma coordinate and the brightness coordinate in the color gamut plane corresponding to the color point Pp，Lp)；
S102: judging whether the color point P is positioned in the panel color gamut or outside the panel color gamut according to the coordinate position;
s103: if the color point P is located in the panel color gamut, obtaining the Lab value of the color point P according to the step S101, and converting and mapping the Lab value into a digital value in a new panel color gamut;
s104: if the color point P is located outside the color gamut of the panel, re-determining the Lab value and the coordinate position of the color point P, namely a new color point P ', and judging the color gamut area where the new color point P' is located;
s105: converting and mapping to digit values in the new panel color gamut according to the Lab value and the coordinate value in the step S104.
According to an embodiment of the present disclosure, the step S100 further includes the following steps:
s200: obtaining RGB digital values of the target through target operation;
s201: converting the digital value in the step S200 into an RGB optical value by an algorithm;
s202: converting the optical values in the step S201 into XYZ tristimulus values;
s203: converting the XYZ tristimulus values in the step S202 into Lab values in Lab space.
According to an embodiment of the present disclosure, in the step S201, the algorithm is a digital function algorithm and a Gamma function algorithm.
According to an embodiment of the present disclosure, the step S104 further includes the following steps:
s300: determining a boundary slope of the planar boundary profile;
s301: determining the coordinate position of the color point P' by adjusting the parameter α;
s302: determining a fixed point P on the C coordinate axisccThe coordinate position of (a);
s303: determining the gamut area in which the color point P is located in the chromaticity diagram,
if the color point P is located in a high-brightness area, mapping the color point P to the boundary of the panel color gamut by a minimum color difference method;
if the color point P is located in a high saturation region, mapping the coordinate position of the color point to the boundary of the panel color gamut;
if the color point P is located in a low luminance region, it is mapped onto the boundary of the panel gamut away from the fixed point.
According to an embodiment of the present disclosure, the step S301 further includes the following steps:
s400: comparing the slope k of the planar boundary contour on the panel color gamut and the target color gamut1、k2、k3、k4The size of (d);
s401: if k is1＜k2Then adjusting the parameter
Figure BDA0002017934970000031
If k is1＞k2Then adjusting the parameter
Figure BDA0002017934970000032
According to an embodiment of the present disclosure, in the step S301, a coordinate C of a coordinate axis C of the color point P' is (1- α) × CpThe coordinate L of the L coordinate axis of the color point P is equal to Lp。
According to an embodiment of the present disclosure, in step 302, the fixed PccIs (500, 0).
According to an embodiment of the present disclosure, the step S105 further includes the following steps:
s500: obtaining a Lab value of the color point P';
s501: converting the Lab values in the step S500 into XYZ tristimulus values;
s502: converting the tristimulus values into RGB optical values;
s503: converting the RGB optical values to RGB digital values.
According to an embodiment of the present disclosure, in the step S103, the color point P and the color point P' have the same value.
According to a second aspect of the embodiments of the present disclosure, an electronic device is also provided, where the electronic device includes a processor, and the processor is configured to execute instructions to implement actions, and an execution method of the instructions includes the color gamut mapping method provided by the embodiments of the present disclosure.
In a third aspect of the embodiments of the present disclosure, a storage medium is further provided, where the storage medium stores instructions, and a method when the instructions are executed includes the color gamut mapping method provided in the embodiments of the present disclosure.
In summary, the beneficial effects of the embodiment of the present disclosure are:
different from the prior art, the method obtains the Lab value of the original color point through the original color point in the panel color gamut, determines the plane coordinate position in the color gamut area corresponding to the color point according to the Lab value, judges whether the color point is located outside the mapping target area according to the coordinate position, calculates the alpha value through a new calculation formula and theory if the color point is located outside the panel color gamut, determines the new mapping color point coordinate through alpha, and finally transposes the new mapping color point coordinate into the required color point gray scale value, so that the improved color gamut mapping algorithm is suitable for any color gamut situation.
Drawings
In order to illustrate the embodiments or the technical solutions in the prior art more clearly, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some of the disclosed embodiments, and that other drawings can be obtained by those skilled in the art without inventive effort.
FIG. 1 is a diagram of a prior art out-of-gamut color clipping target gamut boundary;
FIG. 2 is a flow chart of a new gamut mapping method in an embodiment of the present disclosure;
FIG. 3 is a diagram illustrating a mapping of a chromaticity value of any color point according to an embodiment of the disclosure;
FIG. 4 is a schematic diagram illustrating the acquisition of coordinates of a new mapping point according to an embodiment of the present disclosure;
FIG. 5 is a diagram illustrating an embodiment of obtaining new mapping point coordinates;
fig. 6 is a schematic diagram of an electronic apparatus according to an embodiment of the disclosure.
Detailed Description
The technical solutions in the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present disclosure. It is to be understood that the described embodiments are merely illustrative of some, but not all embodiments of the disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without inventive step, are intended to be within the scope of the present disclosure.
In the description of the present disclosure, it is to be understood that the indicated orientation or positional relationship is based on the orientation or positional relationship shown in the drawings, and is only for convenience of description and simplification of description. Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. The present disclosure provides examples of various specific processes and materials, but one of ordinary skill in the art may recognize applications of other processes and/or use of other materials.
As shown in fig. 1, fig. 1 is a schematic diagram of a color clipping target gamut boundary outside the gamut in the prior art. The gamut boundary in fig. 1 is an ideal model, and the range of the panel gamut is completely within the range of the target gamut, so that the color point outside the gamut can be completely clipped to the panel gamut boundary and the color inside the gamut can be directly output as it is when being mapped along the direction toward the point on the luminance axis by the algorithm. The colors in the gamut can still be accurately presented after being output.
However, in practice, the gamut range of the panel gamut may not completely fall within the target gamut. Therefore, the present disclosure proposes a new gamut mapping method for such a case. As shown in fig. 2, fig. 2 is a flow chart of a new gamut mapping method according to an embodiment of the disclosure. The specific process steps are as follows:
step S100: determining a panel color gamut and a target color gamut in the same color gamut space, and inputting the digital value of an original color point P in the target color gamut;
in this embodiment, the panel color gamut and the target color gamut include a computer graphics color gamut space, a GIE color gamut space, and a screen system color gamut space, for example, the panel color gamut is an sRGB color gamut, the mapping target color gamut is a color space (Lab) color gamut, and the color gamuts represent range regions formed by the number of colors, that is, color ranges that can be expressed by various screen display devices, and in other embodiments, other various colors may be mapped with each other, which is not limited herein.
Specifically, since the color point values in the original color gamut are all gray-scale values and cannot be identified by the algorithm function, the color point values in the original color gamut need to be converted first, and in order to determine the specific position of the color point in the color gamut, the color point, the panel color gamut, and the coordinate positions of the target color gamut need to be normalized: firstly, an RGB digit value of a required color point is obtained through a target function (RGB), then the digit value is converted into an optical value through an algorithm, then the RGB optical value is converted into a tristimulus value through matrix conversion, further the tristimulus value is converted into a Lab value, so that a Lab value of the color point in an original color gamut is obtained, and finally a boundary contour line of a hue plane where the color point is located is determined through the Lab value. Specifically, the step S100 includes the following steps:
s200: obtaining RGB digital values of the target through target function operation;
s201: converting the digital value in the step S200 into an RGB optical value by an algorithm;
s202: converting the optical values in the step S201 into XYZ tristimulus values;
s203: converting the XYZ tristimulus values in the step S202 into Lab values in Lab space.
Step S101: obtaining a color space (Lab) value of the color point P, obtaining H, C, L values through the Lab value, and determining a plane boundary contour of the color gamut where the color point is located and a coordinate position (C) in the color gamut plane corresponding to the color point Pp，Lp)。
To more clearly illustrate the conversion relationship between various parameters, the present disclosure takes as an example the mapping of the chroma value of any color point in the gamut when performing the specific conversion, as shown in fig. 3. FIG. 3 is a diagram illustrating a mapping of a chromaticity value of any color point according to an embodiment of the disclosure. In the coordinate system, the horizontal axis is chroma, the vertical axis is brightness, any color point Lab value in the original color gamut, namely a brightness value L, a red-green color value a and a blue-yellow color value b, is utilized, in the color gamut interval, any point P (C, L) and the brightness axis are used as a plane, the three-dimensional color gamut space can be converted into a two-dimensional plane, and the current P point hue angle H, the brightness coordinate L and the chroma coordinate C are determined according to the values of a and b, and the following formula is specifically adopted:
Figure BDA0002017934970000071
Figure BDA0002017934970000072
L＝L* (3)
preferably, in step S201, the algorithm is a digital (rgb) function algorithm and a gamma2.2 function algorithm.
In general, the conversion is not completed in one step, and the RGB digital values need to be converted into XYZ tristimulus values first to be converted into Lab values, specifically, the XYZ tristimulus conversion formula is:
Figure BDA0002017934970000073
a＝500[f(X/X_n)-f(Y/Y_n)]
Figure BDA0002017934970000081
Figure BDA0002017934970000082
meanwhile, let R, G, B be three channels of pixels, where the conversion formula between the functions gamma2.2 is as follows:
Figure BDA0002017934970000083
through the conversion of the related formula and the function, any color point in the original color gamut can be converted into the Lab value identified by the function, and the plane boundary outline of the specific color tone where the color point is located is determined.
Step S102: and judging whether the color point P is positioned in the panel color gamut or outside the panel color gamut according to the coordinate position.
The step S102 is mainly used to determine whether the color point P is located in the panel gamut.
Step S103: if the color point P is located in the panel gamut, the Lab value of the color point P is obtained according to the step S101 and transformed into the digital value mapped in the new panel gamut.
When the color point P (C, L) is located within the panel color gamut, i.e. in the planar coordinate relationship as shown in fig. 1, the mapping is directly performed according to the mapping method in the prior art, i.e. the Lab value of the color point P is obtained according to the step S101, and is converted into the digital value mapped into the new panel color gamut.
When the color point P (C, L) is not in the panel gamut, i.e. point P is outside the panel gamut, at this time,
step S104: and if the color point P is located outside the color gamut of the panel, re-determining the Lab value and the coordinate position of the color point P, namely a new color point P ', and judging the color gamut of the color point P'.
Specifically, when mapping points outside the color gamut of the panel, the method further includes the following steps:
s300: determining a boundary slope of the planar boundary profile;
s301: determining the coordinate position of the color point P' by adjusting the parameter α;
s302: determining a fixed point P on the C coordinate axisccThe coordinate position of (a);
s303: determining the gamut area in which the color point P is located in the chromaticity diagram,
if the color gamut is located in the high-brightness area, mapping the color gamut to the boundary of the panel color gamut by a minimum color difference method;
if the color point is located in the high saturation region, mapping the coordinate position of the color point to the boundary of the panel color gamut;
and if the color gamut is positioned in a low-brightness area, mapping the color gamut to the boundary of the panel color gamut far from the fixed point.
When mapping, firstly, the boundary of the plane boundary contour needing mapping needs to be determinedThe slopes, the panel color gamut and the target color gamut are all enclosed by two straight lines, and the slopes of the four straight lines are respectively set as k1、k2、k3And k4，k1And k is2Is the slope of the upper half line segment of the boundary contour, k3And k is4Is the slope, k, of the lower segment of the boundary contour1And k is3Is the slope, k, of two boundary lines in the panel gamut2And k is4The slopes of the two boundary lines in the target color gamut.
Specifically, as shown in fig. 4, fig. 4 is a schematic diagram illustrating obtaining a new mapping in the embodiment of the disclosure. At this time, since the color point P is not in the target color gamut, an adjustment parameter α needs to be calculated first, and then a specific coordinate position of P 'is found by adjusting the parameter α, and finally mapping is performed by P'.
Preferably, when k is1＜k2When the temperature of the water is higher than the set temperature,
adjusting parameters
Figure BDA0002017934970000101
When k is1＞k2When the temperature of the water is higher than the set temperature,
adjusting parameters
Figure BDA0002017934970000102
After the specific control parameter α is determined, the coordinate position of P', i.e. C, is determined again by αP’＝(1-α)*CP，LP’＝LPI.e. P' has a coordinate point of ((1-alpha). multidot.C)P，LP)。
Wherein the adjusting parameter alpha is between 0 and 1.
In addition, during mapping, a fixed color point P is determined on the coordinate C axisccSaid P isccIs (500, 0).
During mapping, as shown in fig. 4, the point P is located outside the target color gamut, a perpendicular line is drawn along the coordinate axis L through the point P, and the coordinate point ((1- α) × C) of the point P' is obtained according to the above calculationP，LP) P' in the vertical line of the workOn the line, and P' is connected to a fixed color point PccAnd (4) connecting. Since at this time k1＜k2And k is3＜k4The color points on the upper boundary of the target gamut may all be mapped onto the upper boundary of the panel gamut, while the P' point is the mapped best color point.
When k is1＜k2And k is3＞k4As shown in fig. 5, fig. 5 is a schematic diagram illustrating a method for obtaining new mapping point coordinates according to an embodiment of the disclosure.
At this time, the color point P is also outside the target color gamut, and k is also used for specific mapping3＜k4The time-dependent mapping is calculated. And will not be described in detail herein.
Specifically, when mapping is performed in fig. 4 and fig. 5, the position relationship of the color point P in the chromaticity diagram is combined, and if the point P is located in the high saturation region of the chromaticity diagram, the coordinate position facing the color point is mapped onto the boundary of the panel color gamut, that is, mapping is performed according to the direction of the mapping arrow in fig. 4; if the P point is located in the low-luminance region of the chromaticity diagram, the point far from the fixed point is mapped to the boundary of the panel color gamut, that is, the mapping is performed according to the direction of the mapping arrow in fig. 5. If the color gamut is located in the high-brightness area, mapping the color gamut onto the boundary of the panel color gamut by a minimum color difference method.
Step S105: converting the digit value mapped into the new panel color gamut according to the Lab value and the coordinate value in the step S104.
After the function is used for performing correlation calculation, namely mapping is completed, the Lab value of the mapping point needs to be converted into a tristimulus value and an optical value by an empirical formula, and finally the tristimulus value and the optical value are converted into RGB digital values of the color point. In this case, step S105 further includes the following steps:
s500: acquiring a Lab value of the color point P';
s501: converting the Lab values in the step S500 into XYZ tristimulus values;
s502: converting the tristimulus values into RGB optical values;
s503: converting the RGB optical values to RGB digital values.
And finally, outputting the RGB digital values of the color gamut of the panel. Thereby, the mapping of the entire cross gamut as well as color points outside the target gamut region is completed.
In the embodiment of the disclosure, the color gamut mapping method is applied to the display panel, and the color gamut mapping method is operated in the server. The display panel comprises a memory and a processor. The memory is used for storing a plurality of program codes, and the plurality of program codes comprise each module. The processor is used for executing the functions of the modules so as to realize the steps of the color gamut mapping method.
In the embodiment of the disclosure, a color gamut mapping method is provided, which solves the problems of color points outside a target color gamut and inaccurate color point mapping under the condition that a panel color gamut and the target color gamut are crossed, and by the mapping method disclosed by the disclosure, the levels of color areas originally mapped to the same point are distinguished, the detail level of colors is improved, and the optimal mapping among color difference, chroma and brightness is realized by introducing an adjusting parameter α and a method for specifically judging specific color points.
Fig. 6 shows an electronic device, and fig. 6 is a schematic view of the electronic device according to the embodiment of the disclosure. The electronic device 600 comprises a processor 601, and the processor 601 is configured to execute instructions to implement actions, and the executing method of the executed instructions comprises the color gamut mapping method provided by the embodiment of the disclosure.
The present disclosure also provides a storage medium having stored instructions, the method when executed includes the color gamut mapping method provided in the present disclosure, and the storage medium may be disposed in an electronic device provided in the present disclosure.
The foregoing detailed description has been made on the gamut mapping method, the electronic device, and the storage medium provided by the embodiments of the disclosure, and the description of the embodiments is only used to help understand the technical solutions and the core ideas of the disclosure; those of ordinary skill in the art will understand that: it is to be understood that modifications may be made to the arrangements described in the embodiments above, and such modifications or alterations may be made without departing from the spirit of the respective arrangements of the embodiments of the present disclosure.

Claims (7)

1. A method of gamut mapping, comprising the steps of:
s100: determining a panel color gamut and a target color gamut in the same color gamut space, and inputting the digital value of an original color point P in the target color gamut;
s101: obtaining a color space (Lab) value of the color point P, obtaining a hue angle (H), a chroma coordinate (C) and a brightness coordinate (L) value through the color space value, and determining a plane boundary profile of a color gamut where the color point P is located and coordinate positions (C) of the chroma coordinate and the brightness coordinate in a color gamut plane corresponding to the color point Pp，Lp)；
S102: judging whether the color point P is positioned in the panel color gamut or outside the panel color gamut according to the coordinate position;
s103: if the color point P is located in the panel color gamut, obtaining the Lab value of the color point P according to the step S101, and converting and mapping the Lab value into a digital value in a new panel color gamut;
s104: if the color point P is located outside the color gamut of the panel, re-determining the Lab value and the coordinate position of the color point P to obtain a new color point P ', and judging the color gamut area where the new color point P' is located;
s105: converting and mapping the Lab value and the coordinate position into a digital value in the new panel color gamut in the step S104;
the step S104 further includes the steps of:
s300: determining a boundary slope of the planar boundary profile;
s301: determining the coordinate position of the new color point P' by adjusting the parameter α;
s302: determining a fixed point P on the C coordinate axisccThe coordinate position of (a);
s303: determining the gamut area in which the color point P is located in the chromaticity diagram,
if the color point P is positioned in a high-brightness area, mapping the color point P to the boundary of the panel color gamut by a minimum color difference method;
if the color point P is located in a high saturation region, mapping the coordinate position facing the color point P to the boundary of the panel color gamut;
if the color point P is located in a low-brightness area, mapping to the boundary of the panel color gamut far from the fixed point;
the step S301 further includes the steps of:
s400: comparing the slope k of the planar boundary contour on the panel color gamut and the target color gamut1、k2、k3、k4The size of (d);
s401: if k is1＜k2Then adjusting the parameter
Figure FDA0003475765770000021
If k is1＞k2Then the adjusting parameter
Figure FDA0003475765770000022
Wherein
k1And k is2Is the slope of the upper half line segment of the planar boundary contour,
k3and k is4The slope of the lower half segment of the planar boundary contour,
k1and k is3The slopes of the two boundary lines in the color gamut of the panel,
k2and k is4The slopes of the two boundary lines in the target color gamut.
2. The method of gamut mapping according to claim 1, wherein the step S100 further comprises the steps of:
s200: obtaining RGB digital values of the target through target operation;
s201: converting the digital value in the step S200 into an RGB optical value by an algorithm;
s202: converting the RGB optical values in the step S201 into XYZ tristimulus values;
s203: converting the XYZ tristimulus values in the step S202 into Lab values in Lab space.
3. The method of claim 2, wherein in step S201, the algorithms are a digital function algorithm and a Gamma function algorithm.
4. The method of claim 1, wherein in step S301, the coordinate C of the C coordinate axis of the new color point P' is (1- α) × CpThe coordinate L of the L coordinate axis of the new color point P' is equal to Lp。
5. The method of color gamut mapping according to claim 1, wherein the step S105 further comprises the steps of:
s500: obtaining the Lab value of the new color point P';
s501: converting the Lab values in the step S500 into XYZ tristimulus values;
s502: converting the XYZ tristimulus values into RGB optical values;
s503: converting the RGB optical values to RGB digital values.
6. An electronic device comprising a processor for executing instructions to implement the method of any one of claims 1-5.
7. A readable storage medium storing instructions that, when executed, implement the method of any of claims 1-5.
CN201910269555.9A 2019-04-04 2019-04-04 Color gamut mapping method, electronic device and storage medium Active CN110047415B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910269555.9A CN110047415B (en) 2019-04-04 2019-04-04 Color gamut mapping method, electronic device and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910269555.9A CN110047415B (en) 2019-04-04 2019-04-04 Color gamut mapping method, electronic device and storage medium

Publications (2)

Publication Number Publication Date
CN110047415A CN110047415A (en) 2019-07-23
CN110047415B true CN110047415B (en) 2022-06-14

Family

ID=67276146

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910269555.9A Active CN110047415B (en) 2019-04-04 2019-04-04 Color gamut mapping method, electronic device and storage medium

Country Status (1)

Country Link
CN (1) CN110047415B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112071257B (en) * 2020-07-31 2021-12-10 佛山市青松科技股份有限公司 LED screen correction method and device, storage medium and LED screen

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103903537A (en) * 2012-12-24 2014-07-02 台达电子工业股份有限公司 Adjusting method and applicable display device thereof
CN105164994A (en) * 2013-05-31 2015-12-16 英特尔公司 Semi-fixed-hue gamut compression
JP2016067002A (en) * 2014-09-24 2016-04-28 日本放送協会 Color gamut conversion device and color gamut conversion method
CN107784993A (en) * 2017-09-30 2018-03-09 上海顺久电子科技有限公司 A kind of gamut compression method, apparatus and display device
CN107888893A (en) * 2017-11-07 2018-04-06 深圳市华星光电半导体显示技术有限公司 A kind of method of color gamut mapping of color and gamut mapping apparatus
CN108810508A (en) * 2018-06-19 2018-11-13 深圳市华星光电技术有限公司 Method of color gamut mapping of color, device, storage medium in compression domain exterior domain to domain and electronic equipment

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR101319335B1 (en) * 2007-06-22 2013-10-16 엘지디스플레이 주식회사 Color gamut mapping method and liquid crystal display device using the same
JP5446474B2 (en) * 2009-05-29 2014-03-19 ソニー株式会社 Information processing apparatus and method, and program

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103903537A (en) * 2012-12-24 2014-07-02 台达电子工业股份有限公司 Adjusting method and applicable display device thereof
CN105164994A (en) * 2013-05-31 2015-12-16 英特尔公司 Semi-fixed-hue gamut compression
JP2016067002A (en) * 2014-09-24 2016-04-28 日本放送協会 Color gamut conversion device and color gamut conversion method
CN107784993A (en) * 2017-09-30 2018-03-09 上海顺久电子科技有限公司 A kind of gamut compression method, apparatus and display device
CN107888893A (en) * 2017-11-07 2018-04-06 深圳市华星光电半导体显示技术有限公司 A kind of method of color gamut mapping of color and gamut mapping apparatus
CN108810508A (en) * 2018-06-19 2018-11-13 深圳市华星光电技术有限公司 Method of color gamut mapping of color, device, storage medium in compression domain exterior domain to domain and electronic equipment

Also Published As

Publication number Publication date
CN110047415A (en) 2019-07-23

Similar Documents

Publication Publication Date Title
JP5843662B2 (en) Display device and television receiver
WO2019090914A1 (en) Color gamut mapping method and color gamut mapping apparatus
KR20080113950A (en) Apparatus for automatically computing image correction curve and method thereof
JP6288943B2 (en) Video display device
JP6793281B2 (en) Color gamut mapping method and color gamut mapping device
CN110349097B (en) Color enhancement method for image significance and image processing device
JP2006145577A (en) Color conversion matrix generating apparatus, color conversion matrix generating program, and image display device
JP4609674B2 (en) Image processing system, display device, program, and information storage medium
JP2002513221A (en) Method for estimating white point on display device
CN110047415B (en) Color gamut mapping method, electronic device and storage medium
CN108846871B (en) Image processing method and device
WO2022120799A1 (en) Image processing method and apparatus, electronic device, and storage medium
CN111063292A (en) Color gamut mapping method, color gamut mapping component, display device and storage medium
TWI640976B (en) Technique for color profiling of a display device
CN109727573B (en) Display method and display device
TW201002084A (en) Method for adjusting color saturation and image displaying system using the method
CN116382540A (en) Display method and device for electronic paper, electronic equipment and storage medium
KR20120138477A (en) Method for generating panorama image within digital image processing apparatus
CN113077742B (en) Adjusting method and adjusting device of display panel and display panel
US20220139342A1 (en) Color gamut mapping method and device
US9905195B2 (en) Image processing method
CN111402796A (en) Image processing method and image processing system
CN109685859B (en) Three-dimensional color automatic adjustment method based on 3D lookup table
CN110084856B (en) Method and device for adjusting brightness of calibration image, electronic equipment and storage medium
CN111276089B (en) Gray scale compensation calculation method and device and display device

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
CB02 Change of applicant information
CB02 Change of applicant information

Address after: 9-2 Tangming Avenue, Guangming New District, Shenzhen City, Guangdong Province

Applicant after: TCL Huaxing Photoelectric Technology Co.,Ltd.

Address before: 9-2 Tangming Avenue, Guangming New District, Shenzhen City, Guangdong Province

Applicant before: Shenzhen China Star Optoelectronics Technology Co.,Ltd.

GR01 Patent grant
GR01 Patent grant