CN107393504B - RGBW panel-based image adjusting method and device - Google Patents
RGBW panel-based image adjusting method and device Download PDFInfo
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- CN107393504B CN107393504B CN201710813296.2A CN201710813296A CN107393504B CN 107393504 B CN107393504 B CN 107393504B CN 201710813296 A CN201710813296 A CN 201710813296A CN 107393504 B CN107393504 B CN 107393504B
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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
- G09G5/00—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
- G09G5/02—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators characterised by the way in which colour is displayed
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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
- G09G5/00—Control arrangements or circuits for visual indicators common to cathode-ray tube indicators and other visual indicators
- G09G5/10—Intensity circuits
Abstract
The embodiment of the invention provides an image adjusting method and device based on an RGBW panel, wherein the method comprises the following steps: determining at least one color included in an image to be processed; acquiring the actual saturation of the image to be processed according to the actual saturation of each color in the at least one color; obtaining the theoretical saturation of the image to be processed according to the theoretical saturation of each color in the at least one color; determining an adjusting parameter according to the actual saturation of the image to be processed and the theoretical saturation of the image to be processed; and determining the inflection point of the image to be processed and the gamma value before the inflection point according to the adjusting parameter. For improving the brightness of colors in an image displayed by the RGBW panel.
Description
Technical Field
The embodiment of the invention relates to the field of image processing bases, in particular to an image adjusting method and device based on an RGBW panel.
Background
At present, in order to improve the transmittance of the panel in the display and reduce the cost of the backlight module in the display, the RGBW panel is widely applied to the display.
The RGB panel comprises a red sub-pixel, a green sub-pixel and a blue sub-pixel, and each sub-pixel can be inverted through liquid crystal molecules so that the RGB panel can display the required color. Compared with an RGB panel, the RGBW panel is additionally provided with a white sub-pixel which cannot present any color, and when the white sub-pixel is lightened, the light transmittance of the RGBW panel is improved. When the color is required to be displayed, all the sub-pixels in the RGB panel can be turned over to display the required color, so that the color displayed by the RGB panel is brighter. However, when the RGBW panel displays a color, the color in the RGBW panel display image is dark due to the existence of the white subpixel and the white subpixel cannot present any one color, which results in poor display effect of the RGBW panel.
Disclosure of Invention
The embodiment of the invention provides an image adjusting method and device based on an RGBW panel, which improve the brightness of colors in an image displayed by the RGBW panel.
In a first aspect, an embodiment of the present invention provides an image adjusting method based on an RGBW panel, including:
determining at least one color included in an image to be processed;
acquiring the actual saturation of the image to be processed according to the actual saturation of each color in the at least one color;
obtaining the theoretical saturation of the image to be processed according to the theoretical saturation of each color in the at least one color;
determining an adjusting parameter according to the actual saturation of the image to be processed and the theoretical saturation of the image to be processed;
and determining the inflection point of the image to be processed and the gamma value before the inflection point according to the adjusting parameter.
In a possible embodiment, determining at least one color included in the image to be processed comprises:
acquiring the tone of each pixel in the image to be processed;
determining the color corresponding to each pixel according to the hue range of the hue of each pixel, wherein one hue range corresponds to one color;
and determining at least one color included in the image to be processed according to the corresponding color of each pixel.
In another possible embodiment, obtaining the actual saturation of the image to be processed according to the actual saturation of each of the at least one color includes:
determining a pixel corresponding to each color in the image to be processed;
determining the actual saturation of each color according to the saturation of the pixel corresponding to each color and the number of the pixels of each color object;
and determining the sum of the actual saturation of each color as the actual saturation of the image to be processed.
In another possible embodiment, obtaining the theoretical saturation of the image to be processed according to the theoretical saturation of each of the at least one color includes:
obtaining theoretical saturation corresponding to each color in the at least one color;
and determining the sum of the theoretical saturation corresponding to each color as the theoretical saturation of the image to be processed.
In another possible implementation, determining an inflection point of the image to be processed according to the adjustment parameter includes:
determining an inflection point of the image to be processed according to the following formula I:
wherein a is the adjusting parameter, and β is a preset parameter.
In another possible implementation, determining a gamma value before an inflection point of the image to be processed according to the adjustment parameter includes:
determining a gamma value before an inflection point of the image to be processed according to the following formula II:
wherein a is the adjusting parameter, a1Is a first threshold value, said a2Is the second threshold.
In a second aspect, an embodiment of the present invention provides an image adjusting apparatus based on an RGBW panel, including a first determining module, a first obtaining module, a second determining module, and a third determining module, wherein,
the first determining module is used for determining at least one color included in the image to be processed;
the first obtaining module is configured to obtain an actual saturation of the image to be processed according to an actual saturation of each color of the at least one color;
the second obtaining module is used for obtaining the theoretical saturation of the image to be processed according to the theoretical saturation of each color in the at least one color;
the second determining module is used for determining an adjusting parameter according to the actual saturation of the image to be processed and the theoretical saturation of the image to be processed;
and the third determining module is used for determining the inflection point of the image to be processed and the gamma value before the inflection point according to the adjusting parameter.
In a possible implementation manner, the first determining module is specifically configured to:
acquiring the tone of each pixel in the image to be processed;
determining the color corresponding to each pixel according to the hue range of the hue of each pixel, wherein one hue range corresponds to one color;
and determining at least one color included in the image to be processed according to the corresponding color of each pixel.
In another possible implementation manner, the first obtaining module is specifically configured to:
determining a pixel corresponding to each color in the image to be processed;
determining the actual saturation of each color according to the saturation of the pixel corresponding to each color and the number of the pixels of each color object;
and determining the sum of the actual saturation of each color as the actual saturation of the image to be processed.
In another possible implementation manner, the second obtaining module is specifically configured to:
obtaining theoretical saturation corresponding to each color in the at least one color;
and determining the sum of the theoretical saturation corresponding to each color as the theoretical saturation of the image to be processed.
In another possible implementation manner, the third determining module is specifically configured to:
determining an inflection point of the image to be processed according to the following formula I:
wherein a is the adjusting parameter, and β is a preset parameter.
In another possible implementation manner, the third determining module is specifically configured to:
determining a gamma value before an inflection point of the image to be processed according to the following formula II:
wherein a is the adjusting parameter, a1Is a first threshold value, said a2Is the second threshold.
According to the image adjusting method and device based on the RGBW panel, when an image to be processed needs to be processed, at least one color included in the image to be processed is determined, the actual saturation of the image to be processed is obtained according to the actual saturation corresponding to each color, the theoretical saturation of the image to be processed is obtained according to the theoretical saturation corresponding to each color, adjusting parameters are determined according to the actual saturation and the theoretical saturation of the image to be processed, and an inflection point and a gamma value of the image to be processed are determined according to the adjusting parameters. In the above process, before displaying the image, the inflection point and the gamma value of the image may be adjusted according to the saturation of the image, so that not only the contrast of the image may be improved, but also the brightness of the color in the image displayed by the RGBW panel may be improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic structural diagram of an RGBW panel according to an embodiment of the present invention;
FIG. 2 is a first flowchart illustrating an image adjusting method based on an RGBW panel according to an embodiment of the present invention;
FIG. 3 is a schematic view of a gamma curve according to an embodiment of the present invention;
FIG. 4 is a second flowchart illustrating an image adjusting method based on an RGBW panel according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an image adjusting apparatus based on an RGBW panel according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
To facilitate understanding of the present application, the RGBW panel will first be described with reference to fig. 1. Fig. 1 is a schematic structural diagram of an RGBW panel according to an embodiment of the present invention. Referring to fig. 1, the RGBW panel includes a red sub-pixel, a green sub-pixel, a blue sub-pixel, and a white sub-pixel. Wherein one pixel may include two sub-pixels, for example, as illustrated by pixel a in fig. 1; a pixel may also include 2.5 sub-pixels, as shown, for example, by pixel B in fig. 1. It should be noted that, for one RGBW panel, all pixels include the same number of pixels, that is, all pixels in one RGBW panel include two sub-pixels, or all pixels in one RGBW panel include 2.5 sub-pixels. In the RGBW panel, the red, green and blue sub-pixels can be inverted to display different colors, and the white sub-pixel can only display white.
In the present application, in order to improve the brightness of colors in an image, before the image is displayed, an inflection point and a gamma value of the image may be adjusted according to the saturation of the image, so as to enhance the brightness of the colors in the image.
The technical means shown in the present application will be described in detail below with reference to specific examples. It should be noted that the following embodiments may be combined with each other, and the description of the same or similar contents in different embodiments is not repeated.
Fig. 2 is a first flowchart of an image adjusting method based on an RGBW panel according to an embodiment of the present invention. Referring to fig. 2, the method may include:
s201, determining at least one color included in the image to be processed.
The execution main body of the embodiment of the present invention may be an image adjusting device based on an RGBW panel (hereinafter, referred to as an image adjusting device for short), and the image adjusting device may be disposed in a terminal device having the RGBW panel, for example, the terminal device may be a television, a computer, a mobile phone, and the like. Alternatively, the image adjusting means may be implemented by software, or the image adjusting means may be implemented by a combination of software and hardware.
Optionally, the image to be processed may be a video frame in a video to be played by the television, or may be a static page to be displayed by the television.
Alternatively, the at least one color included in the image to be processed may be determined by the following feasible implementation: the method comprises the steps of obtaining the tone of each pixel in an image to be processed, determining the color corresponding to each pixel according to the tone range of the tone of each pixel, and determining at least one color included in the image to be processed according to the color corresponding to each pixel, wherein one tone range corresponds to one color.
Optionally, for any pixel in the image to be processed, the hue h of the pixel in the image to be processed may be obtained through the following formula:
determining the tone h of the pixel according to the r value, g value, b value, max value and min value of the pixel by the following formula:
wherein R is the value of R in the pixel, G is the value of G in the pixel, B is the value of B in the pixel, max is the largest value of R, G and B, and min is the smallest value of R, G and B.
In the embodiment of the present invention, one hue range corresponds to one color, and the corresponding relationship between the hue range and the color may be preset, for example, assuming that 10 colors are divided, the corresponding relationship between the 10 colors and the hue range may be as shown in table 1:
TABLE 1
For each pixel in the image to be processed, the color corresponding to each pixel is determined according to the tone range in which the tone of the pixel is located, for example, assuming that the tone of one pixel is located between h9-h10, the color corresponding to the pixel can be determined to be blue.
At least one color included in the image to be processed is determined according to the color of each pixel object. For example, assuming that the image to be processed includes 1000 pixels, where a color corresponding to 300 pixels is blue, a color corresponding to 400 pixels is red, a color corresponding to 200 pixels is yellow, and a color corresponding to 100 pixels is white, it may be determined that at least one color included in the image to be processed is: blue, red, yellow and white.
S202, acquiring the actual saturation of the image to be processed according to the actual saturation of each color in at least one color.
Optionally, the actual saturation of each color is obtained first, and then the sum of the actual saturations of each color is determined as the actual saturation of the image to be processed.
Optionally, for any color, a pixel corresponding to the color may be determined first, and the actual saturation of the color may be determined according to the saturation of the pixel corresponding to the color and the number of pixels corresponding to the color.
Optionally, for any pixel in the image to be processed, the saturation s of any pixel may be obtained through the following formula:
wherein max is the largest value among R, G and B, min is the smallest value among R, G and B, R is the value of R in the pixel, G is the value of G in the pixel, and B is the value of B in the pixel.
Optionally, for the nth color in the image to be processed, the actual saturation S corresponding to the nth color may be determined by the following formulan：
Wherein inmaxThe number of pixels corresponding to the nth color, sniThe saturation of the ith pixel corresponding to the nth color.
S203, obtaining the theoretical saturation of the image to be processed according to the theoretical saturation of each color in at least one color.
Optionally, each color has a theoretical saturation corresponding thereto, the theoretical saturation corresponding to each color in the at least one color may be obtained, and the sum of the theoretical saturations corresponding to each color is determined as the theoretical saturation of the image to be processed.
For example, assume that the colors included in the image to be processed are: and assuming that the theoretical saturation corresponding to blue is s1, the theoretical saturation corresponding to red is s2, the theoretical saturation corresponding to yellow is s3 and the theoretical saturation corresponding to white is s4, the theoretical saturation of the image to be processed is s1+ s2+ s3+ s 4.
And S204, determining an adjusting parameter according to the actual saturation of the image to be processed and the theoretical saturation of the image to be processed.
Optionally, a ratio of the actual saturation of the image to be processed to the theoretical saturation of the image to be processed may be determined as the adjustment parameter.
S205, determining the inflection point of the image to be processed and the gamma value before the inflection point according to the adjusting parameters.
Optionally, the inflection point of the image to be processed refers to a corresponding minimum image brightness when the image is saturated.
The inflection point of the image to be processed will be described in detail with reference to the gamma curve shown in fig. 3.
Fig. 3 is a schematic view of gamma curves provided by the embodiment of the present invention. Referring to fig. 3, the horizontal axis represents the input luminance and the vertical axis represents the output luminance. When the gamma values are different, the gamma curves of the images are also different.
Referring to the gamma curve with a gamma value of 4, the input brightness corresponding to point A is 4.5. When the input luminance is less than 4.5, the input luminance increases as the input luminance increases. When the luminance is greater than 4.5, the input luminance is not increased as the input luminance is increased, that is, the point a is the inflection point of the gamma curve having a gamma value of 4.
Please refer to the gamma curve with gamma value of 1, the input brightness corresponding to point B is 5.5. When the input luminance is less than 5.5, the input luminance increases as the input luminance increases. When the luminance is greater than 5.5, the input luminance is not increased as the input luminance is increased, that is, the point B is the inflection point of the gamma curve having a gamma value of 1.
Referring to the gamma curve with a gamma value of 2, the input brightness corresponding to point C is 4.6. When the input luminance is less than 4.6, the input luminance increases as the input luminance increases. When the luminance is greater than 4.6, the input luminance is not increased as the input luminance is increased, that is, the point C is the inflection point of the gamma curve having a gamma value of 2.
The gamma value of the image is a characteristic of the image, and the gamma curve of the image can be edited by adjusting the gamma value of the image so as to carry out nonlinear tone editing on the image. Not only can the brightness of the color be adjusted by adjusting the gamma value of the image, but also the dark color part and the light color part in the image signal can be detected, and the proportion of the dark color part and the light color part is increased, thereby improving the contrast effect of the image.
Optionally, the inflection point of the image to be processed may be determined according to the following formula one:
where a is the adjustment parameter and β is the preset parameter.
Optionally, β may be 0.25, and certainly, in an actual application process, a value of β may be set according to actual needs, which is not specifically limited in this embodiment of the present invention.
Optionally, the gamma value before the inflection point of the image to be processed may be determined according to the following formula two:
wherein a is a regulating parameter, a1Is a first threshold value, a2Is the second threshold.
Optionally, a1May be 0.4, a2May be 07, of course, in the practical application process, a may be set according to the practical requirement1And a2The value of (a) is not particularly limited in this embodiment of the present invention.
According to the image adjusting method based on the RGBW panel, when an image to be processed needs to be processed, at least one color included in the image to be processed is determined, the actual saturation of the image to be processed is obtained according to the actual saturation corresponding to each color, the theoretical saturation of the image to be processed is obtained according to the theoretical saturation corresponding to each color, adjusting parameters are determined according to the actual saturation and the theoretical saturation of the image to be processed, and an inflection point and a gamma value of the image to be processed are determined according to the adjusting parameters. In the above process, before the image is displayed, the inflection point and the gamma value of the image can be adjusted according to the saturation of the image, so that not only can the contrast of the image be improved, but also the brightness of the medium color of the image can be enhanced.
On the basis of the above-mentioned embodiment, the following describes in further detail the technical solution shown in the above-mentioned method embodiment with reference to fig. 4.
Fig. 4 is a second flowchart illustrating an image adjusting method based on an RGBW panel according to an embodiment of the present invention. Referring to fig. 4, the method may include:
s401, acquiring the tone of each pixel in the image to be processed.
S402, determining the color corresponding to each pixel according to the tone range of the tone of each pixel, wherein one tone range corresponds to one color.
And S403, determining at least one color included in the image to be processed according to the color corresponding to each pixel.
According to S401 to S403, at least one color included in the image to be processed may be determined, and of course, at least one color included in the image to be processed may also be determined through other possible implementations, which is not particularly limited by the embodiment of the present invention.
It should be noted that the processes of S401-S403 may refer to the description in S201, and are not described herein again.
And S404, determining a pixel corresponding to each color in the image to be processed.
S405, determining the actual saturation of each color according to the saturation of the pixel corresponding to each color and the number of the pixels of each color object.
And S406, determining the sum of the actual saturation of each color as the actual saturation of the image to be processed.
According to S404-S406, the actual saturation of the image to be processed may be determined, and of course, the actual saturation of the image to be processed may also be determined through other feasible implementation manners, which is not specifically limited in the embodiment of the present invention.
It should be noted that the processes of S404-S406 may refer to the description in S202, and are not described herein again.
S407, obtaining the theoretical saturation corresponding to each color in at least one color.
And S408, determining the sum of the theoretical saturation corresponding to each color as the theoretical saturation of the image to be processed.
According to S407-S408, the theoretical saturation of the image to be processed may be determined, and certainly, the theoretical saturation of the image to be processed may also be determined through other feasible implementation manners, which is not specifically limited in this embodiment of the present invention.
It should be noted that, the process of S407-S408 may refer to the description in S203, and is not described herein again.
And S409, determining an adjusting parameter according to the actual saturation of the image to be processed and the theoretical saturation of the image to be processed.
S410, determining the inflection point of the image to be processed and the gamma value before the inflection point according to the adjusting parameters.
It should be noted that the process of S409 to S410 may refer to the description in S204 to S205, and is not described herein again.
Fig. 5 is a schematic structural diagram of an image adjusting apparatus based on an RGBW panel according to an embodiment of the present invention. Referring to fig. 5, the apparatus may include a first determining module 11, a first obtaining module 12, a second obtaining module 13, a second determining module 14, and a third determining module 15, wherein,
the first determining module 11 is configured to determine at least one color included in the image to be processed;
the first obtaining module 12 is configured to obtain an actual saturation of the image to be processed according to an actual saturation of each color of the at least one color;
the second obtaining module 13 is configured to obtain a theoretical saturation of the image to be processed according to a theoretical saturation of each color of the at least one color;
the second determining module 14 is configured to determine an adjustment parameter according to the actual saturation of the image to be processed and the theoretical saturation of the image to be processed;
the third determining module 15 is configured to determine an inflection point of the image to be processed and a gamma value before the inflection point according to the adjustment parameter.
The image adjusting device based on the RGBW panel provided in the embodiment of the present invention can implement the technical solutions shown in the above method embodiments, and the implementation principle and the beneficial effects are similar, and are not described herein again.
In a possible implementation, the first determining module 11 is specifically configured to:
acquiring the tone of each pixel in the image to be processed;
determining the color corresponding to each pixel according to the hue range of the hue of each pixel, wherein one hue range corresponds to one color;
and determining at least one color included in the image to be processed according to the corresponding color of each pixel.
In another possible implementation, the first obtaining module 12 is specifically configured to:
determining a pixel corresponding to each color in the image to be processed;
determining the actual saturation of each color according to the saturation of the pixel corresponding to each color and the number of the pixels of each color object;
and determining the sum of the actual saturation of each color as the actual saturation of the image to be processed.
In another possible implementation manner, the second obtaining module 13 is specifically configured to:
obtaining theoretical saturation corresponding to each color in the at least one color;
and determining the sum of the theoretical saturation corresponding to each color as the theoretical saturation of the image to be processed.
In another possible implementation manner, the third determining module 15 is specifically configured to:
determining an inflection point of the image to be processed according to the following formula I:
wherein a is the adjusting parameter, and β is a preset parameter.
In another possible implementation manner, the third determining module 15 is specifically configured to:
determining a gamma value before an inflection point of the image to be processed according to the following formula II:
wherein a is the adjusting parameter, a1Is a first threshold value, said a2Is the second threshold.
The image adjusting device based on the RGBW panel provided in the embodiment of the present invention can implement the technical solutions shown in the above method embodiments, and the implementation principle and the beneficial effects are similar, and are not described herein again.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the embodiments of the present invention, and are not limited thereto; although embodiments of the present invention have been described in detail with reference to the foregoing embodiments, those skilled in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the embodiments of the present invention.
Claims (9)
1. An image adjusting method based on an RGBW panel is characterized by comprising the following steps:
determining at least one color included in an image to be processed;
acquiring the actual saturation of the image to be processed according to the actual saturation of each color in the at least one color;
obtaining the theoretical saturation of the image to be processed according to the theoretical saturation of each color in the at least one color;
determining an adjusting parameter according to the actual saturation of the image to be processed and the theoretical saturation of the image to be processed;
determining the inflection point of the image to be processed and a gamma value before the inflection point according to the adjusting parameter;
determining an inflection point of the image to be processed according to the adjusting parameter, wherein the inflection point of the image to be processed comprises the following steps:
determining an inflection point of the image to be processed according to the following formula I:
wherein a is the adjusting parameter, and β is a preset parameter.
2. The method of claim 1, wherein determining at least one color included in the image to be processed comprises:
acquiring the tone of each pixel in the image to be processed;
determining the color corresponding to each pixel according to the hue range of the hue of each pixel, wherein one hue range corresponds to one color;
and determining at least one color included in the image to be processed according to the corresponding color of each pixel.
3. The method according to claim 1 or 2, wherein obtaining the actual saturation of the image to be processed according to the actual saturation of each of the at least one color comprises:
determining a pixel corresponding to each color in the image to be processed;
determining the actual saturation of each color according to the saturation of the pixel corresponding to each color and the number of the pixels of each color object;
and determining the sum of the actual saturation of each color as the actual saturation of the image to be processed.
4. The method according to claim 1 or 2, wherein obtaining the theoretical saturation of the image to be processed according to the theoretical saturation of each of the at least one color comprises:
obtaining theoretical saturation corresponding to each color in the at least one color;
and determining the sum of the theoretical saturation corresponding to each color as the theoretical saturation of the image to be processed.
5. The method according to claim 1 or 2, wherein determining a gamma value before an inflection point of the image to be processed according to the adjustment parameter comprises:
determining a gamma value before an inflection point of the image to be processed according to the following formula II:
wherein a is the adjusting parameter, a1Is a first threshold value, said a2Is the second threshold.
6. An image adjusting device based on RGBW panel is characterized by comprising a first determining module, a first acquiring module, a second determining module and a third determining module, wherein,
the first determining module is used for determining at least one color included in the image to be processed;
the first obtaining module is configured to obtain an actual saturation of the image to be processed according to an actual saturation of each color of the at least one color;
the second obtaining module is used for obtaining the theoretical saturation of the image to be processed according to the theoretical saturation of each color in the at least one color;
the second determining module is used for determining an adjusting parameter according to the actual saturation of the image to be processed and the theoretical saturation of the image to be processed;
the third determining module is used for determining the inflection point of the image to be processed and a gamma value before the inflection point according to the adjusting parameter;
determining an inflection point of the image to be processed according to the adjusting parameter, wherein the inflection point of the image to be processed comprises the following steps:
determining an inflection point of the image to be processed according to the following formula I:
wherein a is the adjusting parameter, and β is a preset parameter.
7. The apparatus of claim 6, wherein the first determining module is specifically configured to:
acquiring the tone of each pixel in the image to be processed;
determining the color corresponding to each pixel according to the hue range of the hue of each pixel, wherein one hue range corresponds to one color;
and determining at least one color included in the image to be processed according to the corresponding color of each pixel.
8. The apparatus according to claim 6 or 7, wherein the first obtaining module is specifically configured to:
determining a pixel corresponding to each color in the image to be processed;
determining the actual saturation of each color according to the saturation of the pixel corresponding to each color and the number of the pixels of each color object;
and determining the sum of the actual saturation of each color as the actual saturation of the image to be processed.
9. The apparatus according to claim 6 or 7, wherein the second obtaining module is specifically configured to:
obtaining theoretical saturation corresponding to each color in the at least one color;
and determining the sum of the theoretical saturation corresponding to each color as the theoretical saturation of the image to be processed.
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