CN115550629A

CN115550629A - Image quality adjusting method and device, storage medium and electronic equipment

Info

Publication number: CN115550629A
Application number: CN202110732558.9A
Authority: CN
Inventors: 龙坤
Original assignee: Guangzhou Shikun Electronic Technology Co Ltd
Current assignee: Guangzhou Shikun Electronic Technology Co Ltd
Priority date: 2021-06-29
Filing date: 2021-06-29
Publication date: 2022-12-30

Abstract

The embodiment of the application discloses a picture quality adjusting method, a picture quality adjusting device, a storage medium and electronic equipment, wherein the method comprises the following steps: sending a test signal to a television to enable the television to display the test signal, receiving a first color coordinate and a first brightness sent by a color temperature instrument, determining image quality adjustment information of the television based on the first color coordinate and the first brightness, wherein the first color coordinate and the first brightness are the color coordinate and the brightness acquired by the color temperature instrument aiming at the test signal displayed by the television, and sending the image quality adjustment information to the television to enable the television to carry out image quality adjustment according to the image quality adjustment information. Therefore, by adopting the embodiment of the application, the accuracy of image quality adjustment can be improved.

Description

Image quality adjusting method and device, storage medium and electronic equipment

Technical Field

The present disclosure relates to the field of computer technologies, and in particular, to a method and apparatus for adjusting image quality, a storage medium, and an electronic device.

Background

The method of manual adjustment is always adopted for adjusting the picture quality of the television at present, and the picture quality adjustment of the television needs corresponding adjusting equipment to perform processes such as acquisition and processing of picture quality data, so that if a customer needs the picture quality adjustment, a staff of a television manufacturer needs to go out to a customer site with the corresponding adjusting equipment to perform the picture quality adjustment, so that the whole picture quality adjustment process consumes time and labor, and the picture quality adjustment process is mainly based on artificial subjective judgment, so that the picture quality adjustment process has personal subjectivity and difference, and the accuracy of the picture quality adjustment result is influenced.

Disclosure of Invention

The embodiment of the application discloses a picture quality adjusting method, a picture quality adjusting device, a storage medium and electronic equipment, which can improve the accuracy of picture quality adjustment. The technical scheme is as follows:

in a first aspect, an embodiment of the present application provides a method for adjusting image quality, which is applied to a terminal device, and the method includes:

sending a test signal to a television to enable the television to display the test signal;

receiving a first color coordinate and a first brightness sent by a color temperature instrument, and determining image quality adjustment information of the television based on the first color coordinate and the first brightness, wherein the first color coordinate and the first brightness are the color coordinate and the brightness acquired by the color temperature instrument aiming at a test signal displayed by the television;

and sending the image quality adjusting information to the television so that the television adjusts the image quality according to the image quality adjusting information.

In a second aspect, an embodiment of the present application provides a picture quality adjusting method, which is applied to a picture quality adjusting system, where the picture quality adjusting system includes a terminal device, a television, and a color temperature meter, where:

the terminal equipment sends a test signal to the television;

the television receives and displays the test signal;

the color temperature instrument acquires a first color coordinate and a first brightness of a test signal displayed by the television, and sends the first color coordinate and the first brightness to the terminal equipment;

the terminal equipment receives the first color coordinate and the first brightness, determines image quality adjusting information of the television based on the first color coordinate and the first brightness, and sends the image quality adjusting information to the television;

and the television adjusts the image quality according to the image quality adjusting information.

In a third aspect, an embodiment of the present application provides an image quality adjustment apparatus, including:

the signal sending module is used for sending a test signal to a television so that the television displays the test signal;

the information determining module is used for receiving a first color coordinate and a first brightness sent by a color temperature instrument, and determining image quality adjusting information of the television based on the first color coordinate and the first brightness, wherein the first color coordinate and the first brightness are the color coordinate and the brightness acquired by the color temperature instrument aiming at a test signal displayed by the television;

and the information sending module is used for sending the image quality adjusting information to the television so as to enable the television to adjust the image quality according to the image quality adjusting information.

In a fourth aspect, embodiments of the present application provide a computer storage medium storing a plurality of instructions adapted to be loaded by a processor and perform the method steps of the first aspect.

In a fifth aspect, an embodiment of the present application provides an electronic device, which may include: a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the method steps of the first aspect described above.

The beneficial effects brought by the technical scheme provided by some embodiments of the application at least comprise:

in the embodiment of the application, a mobile terminal firstly sends a test signal to a television to enable the television to display the test signal, then receives a first color coordinate and a first brightness sent by a color temperature instrument, determines image quality adjustment information of the television based on the first color coordinate and the first brightness, wherein the first color coordinate and the first brightness are the color coordinate and the brightness acquired by the color temperature instrument aiming at the test signal displayed by the television, and finally sends the image quality adjustment information to the television to enable the television to perform image quality adjustment according to the image quality adjustment information. The picture quality adjusting information of the television can be determined only based on the first color coordinate and the first brightness acquired by the color temperature instrument, and then the picture quality adjusting information is sent to the television, so that the television can adjust the picture quality according to the picture quality adjusting information, a worker of a television manufacturer does not need to take corresponding adjusting equipment to go out to a customer site for picture quality adjustment, and the picture quality adjusting information is determined after data processing is carried out by the mobile terminal, thereby avoiding influence on the accuracy of the picture quality adjusting result due to personal subjectivity and difference caused by the manual picture quality adjusting process, and improving the accuracy of the picture quality adjustment.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the embodiments or the prior art descriptions will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts.

Fig. 1 is a schematic diagram illustrating an architecture of a picture quality adjustment system according to an embodiment of the present disclosure;

fig. 2 is a schematic flowchart of an image quality adjustment method according to an embodiment of the present disclosure;

fig. 3 is a schematic flowchart illustrating an image quality adjustment method according to an embodiment of the present disclosure;

fig. 4 is a schematic flowchart illustrating an image quality adjustment method according to an embodiment of the present disclosure;

fig. 5 is a schematic flowchart illustrating an image quality adjustment method according to an embodiment of the present disclosure;

fig. 6 is a schematic structural diagram of an image quality adjustment apparatus according to an embodiment of the present disclosure;

fig. 7 is a schematic structural diagram of an information determination module according to an embodiment of the present application;

fig. 8 is a schematic structural diagram of an information determination module according to an embodiment of the present application;

fig. 9 is a schematic structural diagram of an information determination module according to an embodiment of the present application;

fig. 10 is a schematic structural diagram of a terminal device according to an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

The following description refers to the accompanying drawings in which the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the application, as detailed in the claims that follow.

In the description of the present application, it is to be understood that the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. The specific meaning of the above terms in the present application can be understood in a specific case by those of ordinary skill in the art. In addition, in the description of the present application, "a plurality" means two or more unless otherwise specified. "and/or" describes the association relationship 6 system of the associated object, indicating that there may be three relationships, e.g., a and/or B, which may indicate: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.

The present application will be described in detail with reference to specific examples.

Referring to fig. 1, which is a schematic view of an architecture of a picture quality adjustment system according to an embodiment of the present disclosure, as shown in fig. 1, the picture quality adjustment system may include a terminal device 10, a television 20, and a color temperature meter 30.

The terminal device 10 may be an electronic device with data processing functions, including but not limited to: wearable devices, handheld devices, personal computers, tablet computers, in-vehicle devices, computing devices or other processing devices connected to a wireless modem, and the like. The terminal devices in different networks may be called different names, for example: user equipment, access terminal, subscriber unit, subscriber station, mobile station, remote terminal, mobile device, user terminal, wireless communication device, user agent or user equipment, cellular telephone, cordless telephone, personal Digital Assistant (PDA), terminal equipment in a 5G network or future evolution network, and the like.

The television 20 may represent a display device with image or video display capabilities.

The color temperature meter 30 is an information collecting device capable of collecting corresponding information of a signal displayed by the television. The corresponding information may be color coordinates, brightness, etc. of the acquisition region.

The terminal device 10 may communicate with the television 20 in a wireless manner or a wired manner, for example, a wireless network includes but is not limited to a cellular network, a wireless local area network, an infrared network, a near field communication network, or a bluetooth network, and a wired manner includes but is not limited to a Universal Serial Bus (USB), a High Definition Multimedia Interface (HDMI), and the like.

The terminal device 10 can perform data transmission with the color thermometer 30 by means including but not limited to USB.

Specifically, the terminal device 10 sends the acquired test signal to the television 20, the television 20 directly displays the test signal after receiving the test signal, at this time, the color temperature meter 30 collects the color coordinate and the brightness of the test signal of the television 20 and sends the color coordinate and the brightness to the terminal device 10, the terminal device 10 performs operation processing based on the color coordinate and the brightness collected by the color temperature meter 30 to obtain the image quality adjustment information of the television 20, and then the terminal device 10 sends the image quality adjustment information to the television 20, so that the television 20 completes image quality adjustment according to the image quality adjustment information.

The test signal may be a different color signal corresponding to all gray scales, or may also be a different color signal corresponding to a specific gray scale (e.g., 10-level, 20-level, etc.). The color signals, namely, RGB signals, specifically include a red signal R, a green signal G, and a blue signal B.

The specific process of determining the image quality adjustment information by the terminal device 10 includes adjusting parameters such as Color values corresponding to all gray scales in image quality parameters, image white balance values corresponding to a warm Color mode, image white balance values corresponding to a cold Color mode, individual saturation Color Control (ICC) values and Individual Hue Control (IHC) values in Color processing parameters, and the like.

The adjusting process of the terminal device 10 for the color values corresponding to all the gray scales in the image quality parameter may specifically be: the terminal device 10 calculates tristimulus values corresponding to all gray scales based on first color coordinates and first brightness of all gray scales to obtain a first tristimulus value table containing the tristimulus values of all gray scales, calculates target brightness corresponding to all gray scales, acquires reference gray scales corresponding to the first brightness of all gray scales based on the first brightness and the target brightness corresponding to all gray scales, corrects the tristimulus values corresponding to all gray scales into the tristimulus values corresponding to the reference gray scales, calculates color values corresponding to all gray scales based on the tristimulus values corresponding to all corrected gray scales, and uses the color values as picture quality adjustment information of the television.

The adjusting process of the terminal device 10 for the white balance value corresponding to the warm color mode and the cool color mode in the image quality parameter may specifically be: the terminal device 10 obtains a white balance value in the standard mode based on the second tristimulus value table, directly calculates white balance values corresponding to the warm color mode and the cold color mode based on the white balance value in the standard mode, the calculated result is a result of correcting the white balance values of the images corresponding to the warm color mode and the cold color mode, respectively, and the result of correcting the white balance values of the images corresponding to the standard mode, the warm color mode, and the cold color mode is used as the adjustment information of the picture quality of the television.

The adjusting process of the terminal device 10 for the ICC value and the IHC value of the color processing parameter in the image quality parameter may specifically be: the terminal device 10 determines at least one designated color, which may be any one color, such as red, green, blue, orange, etc., and the terminal device may obtain color values of the designated colors at different individual saturation control values and individual hue control values by referring to a file containing standard quality information uploaded by a user or referring to a use specification of the television, etc., calculate standard color coordinates corresponding to the color values of the designated colors at different individual saturation control values and individual hue control values, respectively, based on a second tristimulus value table, directly look up individual saturation control values and individual hue control values corresponding to the designated colors among the color values of the designated colors at different individual saturation control values and individual hue control values, based on the standard color coordinates of the designated colors, and use the individual saturation control values and the corresponding individual hue control values corresponding to the designated colors as the television quality adjustment information.

The image quality adjustment method according to the embodiment of the present application will be described in detail below with reference to fig. 2 to fig. 10. The method may be implemented by means of a computer program, and may be run on a von neumann-based picture quality adjusting apparatus. The computer program may be integrated into the application or may run as a separate tool-like application. It is understood that the image quality adjusting apparatus is the above-mentioned terminal device.

Fig. 2 is a schematic flow chart of an image quality adjustment method according to an embodiment of the present disclosure. In the embodiment of the present application, a terminal device side is taken as an example for description, and as shown in fig. 2, the method in the embodiment of the present application may include the following steps:

s101, sending a test signal to a television to enable the television to display the test signal;

the test signal may be a signal of different colors (red, green, blue) corresponding to all gray levels. As shown in table 1, including red, green, and blue signals of 0-255 orders.

TABLE 1

The test signal may also be a signal of different colors (red, green, blue) corresponding to a designated gray scale, as shown in table 2, including 11-level signals of 0-level, 11-level, 255-level, and the 11-level signal is sent to the television, so that the television displays the test signal of the designated gray scale. For example, for level 1, the test signals are a red signal (color value of 1,0,0), a green signal (color value of 0,1,0), and a blue signal (color value of 0,0,1).

TABLE 2

The television displays the test signal, namely, after the television receives the test signal, the television displays an image based on the test signal.

It should be noted that when the television displays the test signal, due to the influence of part of set parameters, an error occurs when the television displays the test signal, so that the part of parameters needs to be reset, so that the television is not influenced by the part of parameters when displaying the test signal sent by the terminal device, and thus, the display content is consistent with the test signal sent by the terminal device.

S102, receiving a first color coordinate and first brightness sent by a color temperature instrument, and determining image quality adjustment information of the television based on the first color coordinate and the first brightness, wherein the first color coordinate and the first brightness are color coordinates and brightness acquired by the color temperature instrument aiming at a test signal displayed by the television;

and a photosensitive probe of the color thermometer is close to a display screen of the television, the spectrum of the light emitted by the display screen is obtained and intelligently tested, and then the color coordinate and the brightness of the spectrum are displayed in the display screen of the color thermometer, wherein the color coordinate and the brightness of the spectrum are the first color coordinate and the first brightness. The terminal device can perform data transmission with the color temperature instrument through a USB or other communication modes to acquire the first color coordinate and the first brightness.

Generally, adjusting the image quality of the display screen includes adjusting a plurality of dimensional parameters, such as color values corresponding to all gray scales in the image quality parameters, an image white balance value corresponding to a warm color mode, an image white balance value corresponding to a cold color mode, and ICC and IHC values in the color processing parameters. The result of the parameter adjustment is the image quality adjustment information of the television.

The adjusting process of the color values corresponding to all gray levels in the image quality parameters may specifically be: the terminal equipment sends a test signal of an appointed gray scale to the television so that the television respectively displays the test signal of the appointed gray scale, the test signal respectively comprises a red signal, a green signal and a blue signal, the terminal equipment receives a first color coordinate and first brightness of each appointed gray scale sent by the color thermometer, calculates a tristimulus value corresponding to each appointed gray scale based on the first color coordinate and the first brightness, performs linear interpolation processing on the tristimulus values corresponding to each appointed gray scale to obtain a first tristimulus value table containing the tristimulus values of all gray scales, sequentially traverses each gray scale, calculates target brightness corresponding to the currently traversed target gray scale, and searches for target first brightness matched with the target brightness corresponding to the target gray scale in the first brightness corresponding to all gray scales, determining a reference gray scale corresponding to the target first brightness, looking up a tristimulus value of a green signal corresponding to the reference gray scale in the first tristimulus value table, correcting the tristimulus value of the green signal corresponding to the target gray scale to be the tristimulus value of the green signal corresponding to the reference gray scale, obtaining the tristimulus value after correcting the blue signal corresponding to the target gray scale based on the tristimulus value of the green signal after correcting the target gray scale, the tristimulus value of the red signal corresponding to the target gray scale, a y-color coordinate calculation formula of a white field signal and a target y-color coordinate, obtaining the tristimulus value after correcting the red signal corresponding to the target gray scale based on the tristimulus value of the green signal after correcting the target gray scale, the tristimulus value of the blue signal after correcting the target gray scale, an x-color coordinate calculation formula of a white field signal and a target x-color coordinate, and when traversing is completed, generating a second tristimulus value table, calculating second color coordinates and second brightness of all gray scales based on the second tristimulus value table, calculating color values corresponding to all gray scales based on the second color coordinates and the second brightness, and taking the color values as the image quality adjusting information of the television.

The adjusting process of the white balance value corresponding to the warm color mode and the cold color mode in the image quality parameters may specifically be: and acquiring a white balance value in a standard mode based on the second tristimulus value table, directly calculating white balance values corresponding to a warm color mode and a cold color mode based on the white balance value in the standard mode, wherein the calculated results are the results of correcting the white balance values of the images corresponding to the warm color mode and the cold color mode respectively, and taking the results of correcting the white balance values of the images corresponding to the standard mode, the warm color mode and the cold color mode respectively as the adjustment information of the image quality of the television.

The adjustment process of the individual saturation control value and the individual hue control value of the color processing parameter in the image quality parameter may specifically be: the terminal device can obtain color values of the designated colors under different individual saturation control values and individual hue control values by referring to a file containing standard picture quality information uploaded by a user or referring to a use instruction of the television, calculates standard color coordinates corresponding to the color values of the designated colors under different individual saturation control values and individual hue control values respectively based on a second tristimulus value table, directly searches the individual saturation control values and the individual hue control values corresponding to the designated colors in the color values of the designated colors under different individual saturation control values and individual hue control values based on the standard color coordinates of the designated colors, and uses the individual saturation control values and the corresponding individual hue control values corresponding to the designated colors as picture quality adjusting information of the television.

And S103, sending the image quality adjusting information to the television so that the television adjusts the image quality according to the image quality adjusting information.

In a specific embodiment, the corrected results of the color values corresponding to all the gray scales, the white balance value of the image corresponding to the warm color mode, the white balance value of the image corresponding to the cold color mode, the individual saturation control value of the color processing parameter, and the individual hue control value are sent to the television, so that the television starts the automatic image quality adjustment process according to the image quality adjustment information.

In an embodiment of the present application, a test signal is first sent to a television to enable the television to display the test signal, then a first color coordinate and a first brightness sent by a color temperature meter are received, image quality adjustment information of the television is determined based on the first color coordinate and the first brightness, the first color coordinate and the first brightness are the color coordinate and the brightness acquired by the color temperature meter for the test signal displayed by the television, and finally the image quality adjustment information is sent to the television to enable the television to perform image quality adjustment according to the image quality adjustment information. The picture quality adjusting information of the television can be determined only based on the first color coordinate and the first brightness acquired by the color temperature instrument, and then the picture quality adjusting information is sent to the television, so that the television can adjust the picture quality according to the picture quality adjusting information, a worker of a television manufacturer does not need to take corresponding adjusting equipment to go out to a customer site for picture quality adjustment, and the picture quality adjusting information is determined after data processing is carried out by the mobile terminal, so that the influence on the accuracy of a picture quality adjusting result due to personal subjectivity and difference caused by artificial picture quality adjustment is avoided, and the accuracy of picture quality adjustment is improved.

Fig. 3 is a schematic flow chart of an image quality adjustment method according to an embodiment of the present disclosure. In the embodiment of the present application, the terminal device side is taken as an example for description, and the image quality adjustment method may include the following steps:

s201, sending a test signal of a specified gray scale to a television to enable the television to display the test signal of the specified gray scale;

the method for sending the test signal of the designated gray scale to the television is described in detail in S101, and is not described herein again.

S202, receiving the first color coordinate and the first brightness of each appointed gray scale sent by a color temperature instrument, and calculating a tristimulus value corresponding to each appointed gray scale based on the first color coordinate and the first brightness;

performing linear interpolation processing on the tristimulus values corresponding to the designated gray scales to obtain a first tristimulus value table containing the tristimulus values of all the gray scales;

specifically, the tristimulus value corresponding to each of the designated gray scales is calculated according to a color coordinate calculation formula based on the first color coordinate and the first brightness of each of the designated gray scales.

The color coordinate calculation formula is as follows:

x＝X/(X+Y+Z)

y＝Y/(X+Y+Z)

Y＝Lv

wherein, X and Y are respectively the values of the abscissa and the ordinate in the first color coordinate, lv is the first brightness, and X, Y and Z are tristimulus values.

Taking the gray scale 255 and the gray scale 240 as examples, the formula for calculating the tristimulus values corresponding to the gray scale 255 and the gray scale 240 is as follows:

RY ₂₅₅ ＝RLv ₂₅₅

according to the formula for calculating the third stimulus value, the tristimulus values corresponding to the green signal and the red signal of the gray scale 240 can be calculated, and similarly, the tristimulus values corresponding to other designated gray scales are calculated, after the tristimulus values corresponding to the designated gray scales are obtained, linear interpolation processing is performed on the designated gray scales and the tristimulus values corresponding to the designated gray scales, so as to obtain a first tristimulus value table shown in table 3, wherein the tristimulus values corresponding to all the gray scales are included, GL in table 3 is the order of the gray scale, and GL in the following table is yes.

TABLE 3

GL

RX

RY

RZ

GX

GY

GZ

BX

BY

BZ

0

1

RX1

RY1

RZ1

GX1

GY1

GZ1

BX1

BY1

BZ1

2

RX2

RY2

RZ2

GX2

GY2

GZ2

BX2

BY2

BZ2

3

RX3

RY3

RZ3

GX3

GY3

GZ3

BX3

BY3

BZ3

4

RX4

RY4

RZ4

GX4

GY4

GZ4

BX4

BY4

BZ4

…

255

RX255

RY255

RZ255

GX255

GY255

GZ255

BX255

BY255

BZ255

S203, traversing each gray scale in sequence, and calculating the target brightness corresponding to the currently traversed target gray scale;

searching target first brightness matched with target brightness corresponding to the target gray scale in first brightness corresponding to all gray scales, and determining a reference gray scale corresponding to the target first brightness;

looking up the tristimulus values of the green signals corresponding to the reference gray scale in the first tristimulus value table, and correcting the tristimulus values of the green signals corresponding to the target gray scale into the tristimulus values of the green signals corresponding to the reference gray scale;

obtaining a tristimulus value of a corrected blue signal corresponding to the target gray scale based on the tristimulus value of the green signal after the target gray scale correction, the tristimulus value of a red signal corresponding to the target gray scale, a y color coordinate calculation formula of a white field signal and a target y color coordinate;

obtaining a tristimulus value of a red signal corresponding to the target gray scale after correction based on the tristimulus value of the green signal after correction of the target gray scale, the tristimulus value of the blue signal after correction of the target gray scale, an x color coordinate calculation formula of a white field signal and a target x color coordinate;

and when the traversal is completed, generating a second tristimulus value table.

Specifically, through a Gamma calculation formula, each gray scale is sequentially traversed, and the target brightness corresponding to the currently traversed target gray scale is calculated.

Wherein, gamma calculation formula is Gamma = lg (L) _input /L _max )/lg(GL _input /255)。

Gamma in the formula is Gamma coefficient, L _input Target brightness, L, corresponding to the target gray level _max Brightness corresponding to the highest gray scale, GL _input Is the gray level of the input signal. For example, the Gamma coefficient Γ is substituted with a generic value of 2.2.

After the target brightness corresponding to the target gray scale is obtained, the target first brightness matched with the target brightness corresponding to the target gray scale is found in the first brightness corresponding to all the gray scales, the reference gray scale corresponding to the target first brightness is determined, the tristimulus values of the green signals corresponding to the reference gray scale are found in the first tristimulus value table, and the tristimulus values of the green signals corresponding to the target gray scale are corrected into the tristimulus values of the green signals corresponding to the reference gray scale.

And then determining the tristimulus value of the corrected blue signal corresponding to the target gray scale, and then determining the tristimulus value of the corrected red signal corresponding to the target gray scale.

The x and y color coordinates of the white field signal are calculated by the formula:

L _v ＝RY+GY+BY

and according to a y color coordinate calculation formula of the white field signal, determining to obtain a tristimulus value of the corrected blue signal corresponding to the target gray scale.

And searching for the tri-stimulus values BX, BY and BZ of the appropriate blue signal in the first tri-stimulus value table to ensure that Wy in the color coordinates is closest to the target y color coordinates corresponding to the target gray scale, and when the calculated Wy is closest to the target y color coordinates corresponding to the target gray scale, the tri-stimulus values of the blue signals at the moment are the tri-stimulus values of the corrected blue signals corresponding to the target gray scale.

And substituting the corrected tristimulus values of the green signals corresponding to the target gray scale and the corrected tristimulus values of the blue signals corresponding to the target gray scale into an x color coordinate calculation formula of the white field signal, and searching the proper tristimulus values RX, RY and RZ of the red signals in the first tristimulus value table to ensure that Wy in the color coordinates is closest to the target x color coordinates corresponding to the target gray scale, wherein when the calculated Wx is closest to the target x color coordinates corresponding to the target gray scale, the tristimulus values of the corresponding red signals are the corrected tristimulus values of the red signals corresponding to the target gray scale.

And when traversing is completed, generating a second tristimulus value table based on the tristimulus values after the green signal correction corresponding to the target gray scale, the blue signal correction corresponding to the target gray scale and the red signal correction corresponding to the target gray scale.

And calculating second color coordinates and second brightness of all gray scales in the second tristimulus value table based on the color coordinate calculation formula and the tristimulus value calculation formula, calculating color values corresponding to all gray scales based on the second color coordinates and the second brightness, and taking the color values as the image quality adjustment information of the television.

For example, by using a Gamma calculation formula, the target brightness corresponding to the target gray scale 4 is 1.5, the first brightness GY4 corresponding to the target gray scale 4 is 1.7, the first brightness GY3 corresponding to the gray scale 3 is 1.6, the first brightness GY2 corresponding to the gray scale 2 is 1.5, the target brightness GY 1.5 corresponding to the target gray scale 4 matches the first brightness of the gray scale 2, and the gray scale 2 is a reference gray scale corresponding to the target first brightness corresponding to the target gray scale 4, the three-stimulus values of the green signal corresponding to the reference gray scale 2 are searched in the first three-stimulus value table, and the three-stimulus values GX4, GY4, and GZ4 of the green signal corresponding to the target gray scale 4 are corrected to the three-stimulus values GX2, GY2, GZ2 of the green signal corresponding to the reference gray scale 2.

As shown in Table 4, 8bit-GL in the table is the order of gray scale, and 8bit-GL in the following table is shown.

TABLE 4

And then according to a y color coordinate calculation formula of the white field signal, determining to obtain a tristimulus value of the corrected blue signal corresponding to the target gray scale 4.

Specifically, at this time, the tristimulus values of the red signal brought into the y color coordinate calculation formula of the white field signal are the tristimulus values RX4, RY4, RZ4 of the red signal of the target gray scale 4 before correction, the appropriate tristimulus values BX, BY, BZ of the blue signal are searched in the first tristimulus value table, so that Wy in the color coordinates is close to the target y color coordinate corresponding to the target gray scale, and the calculated tristimulus values BX1, BY1, BZ1 of the blue signal are the target y color coordinate corresponding to the target gray scale, so that Wy in the color coordinates is closest to the target y color coordinate corresponding to the target gray scale, and the tristimulus values BX1, BY1, BZ1 of the blue signal are the tristimulus values after correction of the blue signal corresponding to the target gray scale.

And substituting the corrected tristimulus values of the green signals corresponding to the target gray scale 4 and the corrected tristimulus values of the blue signals corresponding to the target gray scale 4 into an x color coordinate calculation formula of the white field signal, searching the proper tristimulus values RX, RY and RZ of the red signals in the first tristimulus value table to ensure that Wy in the color coordinates is closest to the target x color coordinate corresponding to the target gray scale 4, and calculating the tristimulus values RX3, RY3 and RZ3 of the red signals corresponding to the gray scale 3 at the moment to be the corrected tristimulus values of the red signals corresponding to the target gray scale 4.

A tristimulus value table shown in table 5 is generated based on the tristimulus values GX2, GY2, GZ2 after the correction of the green signal corresponding to the target gray scale 4, the tristimulus values after the correction of the blue signal corresponding to the target gray scale 4, and the tristimulus values after the correction of the red signal corresponding to the target gray scale 4.

TABLE 5

8bit-GL

RX

RY

RZ

GX

GY

GZ

BX

BY

BZ

4

RX3

RY3

RZ3

GX2

GY2

GZ2

BX1

BY1

BZ1

Optionally, if the target brightness corresponding to the target gray scale 4 is 1.5, the first brightness GY4 corresponding to the target gray scale 4 at this time is found to be 1.7, the first brightness GY3 corresponding to the gray scale 3 is 1.6, and the first brightness GY2 corresponding to the gray scale 2 is 1.4 in the first brightness corresponding to all the gray scales, interpolation processing is performed on the first brightness corresponding to the gray scale 2 and the gray scale 3, respectively, to obtain the first brightness GY2.5 of the gray scale 2.5 as 1.5, and the target brightness GY v4 corresponding to the target gray scale 4 is matched with the first brightness GY2.5 of the gray scale 2.5, so that the gray scale 2.5 is the reference gray scale, and the first brightness corresponding to the reference gray scale 2.5 is not found in the first three stimulus values. The first tristimulus value table may be interpolated, and the first tristimulus value table may be interpolated with 0.0625 as a step size since the minimum value of Gamma of the MTK scheme is 0.0625, resulting in the first tristimulus value table including 4096 gray scales, as shown in table 6.

Based on the first tristimulus value table including 4096 gray levels, it can be seen that the tristimulus values of the green signals corresponding to the target gray level 4 in the third tristimulus value table are GX64, GY64, GZ64, and the tristimulus values of the green signals corresponding to the target gray level 2.5 in the third tristimulus value table are GX40, GY40, GZ40, and therefore, when the tristimulus values of the green signals GX64, GY64, GZ64 corresponding to the target gray level 4 are corrected to the reference gray level 2.5, GX40, GY40, GZ40 of the tristimulus values of the green signals in the third tristimulus value table are as shown in table 7.

TABLE 6

8bit-GL

RX

RY

RZ

G

GY

GZ

BX

BY

BZ

0

RX0

RY0

RZ0

GX0

GY0

GZ0

BX0

BY0

BZ0

0.0625

RX1

RY1

RZ1

GX1

GY1

GZ1

BX1

BY1

BZ1

…

2.5

RX40

RY40

RZ40

GX40

GY40

GZ40

BX40

BY40

BZ40

…

4

RX64

RY64

RZ64

GX64

GY64

GZ64

BX64

BY64

BZ64

…

255

RX4095

RY4095

RZ4095

GX4095

GY4095

GZ4095

BX4095

BY4095

BZ4095

TABLE 7

8bit-GL

RX

RY

RZ

GX

GY

GZ

BX

BY

BZ

…

2.5

RX40

RY40

RZ40

GX40

GY40

GZ40

BX40

BY40

BZ40

…

4

RX64

RY64

RZ64

GX40

GY40

GZ40

BX64

BY64

BZ64

…

255

RX4095

RY4095

RZ4095

GX4095

GY4095

GZ4095

BX4095

BY4095

BZ4095

And then determining the tristimulus value of the corrected blue signal corresponding to the target gray scale 4, and then determining the tristimulus value of the corrected red signal corresponding to the target gray scale 4. The specific method is the same as the method when the reference gray scale corresponding to the target first brightness corresponding to the target gray scale 4 is the gray scale 2, and the details are not repeated here.

S204, calculating second color coordinates and second brightness of all gray scales based on the second tristimulus value table;

and calculating the color values corresponding to all the gray scales based on the second color coordinates and the second brightness.

Based on the tristimulus value table shown in Table 5, according to the color coordinate calculation formula, the second color coordinate and the second brightness of the target gray scale 4 can be calculated, based on the second color coordinate and the second brightness of the target gray scale 4, according to the tristimulus value calculation formula, the color value corresponding to the target gray scale 4 is calculated, and the color corresponding to the target gray scale 4 is calculated

The value is used as the picture quality adjusting information of the television.

Since there is a large error in the measurement of the first luminance in the dark field, that is, when the order of the gray scale is 50 or less, the first luminance is empirically obtained by adding a compensation curve to the gray scale between the gray scale 0 and the gray scale 64, and the data of the compensation curve is interpolated according to the overall trend of the first luminance of all the gray scales.

And S205, sending the image quality adjusting information to the television so that the television performs image quality adjustment according to the image quality adjusting information.

Specifically, the result of the color value correction corresponding to all the gray scales is sent to the television, so that the television starts an automatic image quality adjustment process according to the image quality adjustment information.

In the embodiment of the application, a test signal of a designated gray scale is firstly transmitted to a television to enable the television to respectively display the test signal of the designated gray scale, then a first color coordinate and a first brightness corresponding to each test signal of the designated gray scale transmitted by a color thermometer are received, a first stimulus value table is obtained based on the protected first color coordinate and the first brightness, the first stimulus value table is corrected to generate a second tristimulus value table, picture quality adjusting information of the television is determined based on the second tristimulus value table, and finally the picture quality adjusting information is transmitted to the television to enable the television to carry out picture quality adjustment according to the picture quality adjusting information. The picture quality adjusting information of the television can be determined only based on the first color coordinate and the first brightness acquired by the color temperature instrument, and then the picture quality adjusting information is sent to the television, so that the television can adjust the picture quality according to the picture quality adjusting information, a worker of a television manufacturer does not need to take corresponding adjusting equipment to go out to a customer site for picture quality adjustment, and the picture quality adjusting information is determined after data processing is carried out by the mobile terminal, thereby avoiding influence on the accuracy of the result of the picture quality adjustment due to personal subjectivity and difference caused by artificial picture quality adjustment, and improving the accuracy of the picture quality adjustment.

Fig. 4 is a schematic flowchart of an image quality adjustment method according to an embodiment of the present disclosure. In the embodiment of the present application, the terminal device side is taken as an example for description, and the image quality adjustment method may include the following steps:

s301, sending a test signal to a television to enable the television to display the test signal;

the method for sending the test signal with the designated gray scale to the television is described in detail in S101, and is not described herein again.

S302, obtaining a first tristimulus value table containing tristimulus values of all gray scales based on the first color coordinate and the first brightness;

calculating target brightness corresponding to all gray scales, and correcting the first tristimulus value table based on first brightness corresponding to all gray scales and the target brightness to obtain a second tristimulus value table;

the processes of obtaining the first tristimulus value table and the second tristimulus value table are as in S202 and S203, which are not described herein again.

S303, acquiring a white balance value in a standard mode based on the second tristimulus value table;

from the second tristimulus value table, it is found that the R, G, B values corresponding to the Gamma vertexes in the standard mode, i.e., the R value, G value, B value at the gray level of 255 are 255.875, 240.1875, 239.4375, respectively, and as shown in table 8, the color values corresponding to the R, G, B values in table 8 are as follows.

Through the method of correcting the first tristimulus value table in S202, the corresponding color values in the warm color mode and the cold color mode are obtained, as shown in table 8.

And acquiring a white balance value in a standard mode based on the second tristimulus value table, wherein the white balance value in the standard mode is 1024.

TABLE 8

Mode(s)		R	G	B
					Standard of reference	Gamma vertex	255.875	240.1875	239.4375
Standard of merit	White balance	1024	1024	1024
					Warm color	Gamma vertex	255.875	223.3125	189.375
Cold color	Gamma vertex	250.75	239.1875	255.875

And S304, correcting the white balance values of the warm color mode and the cold color mode based on the white balance value in the standard mode, and taking the corrected white balance values in the warm color mode and the cold color mode as the image quality adjusting information of the television.

The white balance value correction calculation formula is as follows:

and calculating the white balance value corresponding to the color value corresponding to the gray scale 255 in the warm color mode and the cold color mode according to the white balance value correction calculation formula.

From the data of table 8 and the white balance correction calculation formula, table 9 can be obtained.

TABLE 9

Mode(s) for		R	G	B
					Standard of reference	Gamma	255.875	240.1875	239.4375
Standard of merit	White balance	1024	1024	1024
					Warm color	Gamma	255.875	223.3125	189.375
Warm color	White balance	1024	952	810
					Cold color	Gamma	250.75	239.1875	255.875
Cold color	White balance	1003	1020	1094

S305, sending the image quality adjusting information to the television so that the television can adjust the image quality according to the image quality adjusting information.

Specifically, the corrected result of the white balance value of the image corresponding to each of the warm color mode and the cold color mode is sent to the television, so that the television starts an automatic image quality adjustment process according to the image quality adjustment information.

In the embodiment of the application, a test signal with a specified gray scale is firstly transmitted to a television to enable the television to respectively display the test signal with the specified gray scale, then a first color coordinate and a first brightness corresponding to each test signal with the specified gray scale transmitted by a color thermometer are received, a first stimulus value table is obtained based on the protected first color coordinate and the first brightness, the first stimulus value table is corrected to generate a second tristimulus value table, a white balance value in a standard mode is obtained based on the second tristimulus value table, white balance values in a warm color mode and a cold color mode are corrected based on the white balance value in the standard mode, the corrected white balance value in the warm color mode and the corrected white balance value in the cold color mode are used as image quality adjustment information of the television, and finally the image quality adjustment information is transmitted to the television to enable the television to perform image quality adjustment according to the image quality adjustment information. The picture quality adjusting information of the television can be determined only based on the first color coordinate and the first brightness acquired by the color temperature instrument, and then the picture quality adjusting information is sent to the television, so that the television can adjust the picture quality according to the picture quality adjusting information, a worker of a television manufacturer does not need to take corresponding adjusting equipment to go out to a customer site for picture quality adjustment, and the picture quality adjusting information is determined after data processing is carried out by the mobile terminal, thereby avoiding influence on the accuracy of the result of the picture quality adjustment due to personal subjectivity and difference caused by artificial picture quality adjustment, and improving the accuracy of the picture quality adjustment.

Fig. 5 is a schematic flowchart of an image quality adjustment method according to an embodiment of the present disclosure. In the embodiment of the present application, a terminal device side is taken as an example to describe the method for adjusting image quality, and the method may include the following steps:

s401, sending a test signal of a specified gray scale to a television to enable the television to display the test signal of the specified gray scale;

S402, receiving a first color coordinate and a first brightness which are acquired by a color temperature instrument and correspond to the test signal, and obtaining a tristimulus value corresponding to the first color coordinate and the first brightness;

calculating corresponding target brightness, and correcting the first tristimulus value table based on the first brightness corresponding to all the gray scales and the target brightness to obtain a second tristimulus value table;

please refer to S202 and S203 for the process of obtaining the first tristimulus value table and the second tristimulus value table, which are not described herein again.

S403, determining at least one designated color, and performing linear interpolation processing on the individual saturation control value and the individual hue control value in the value range to obtain a color value of each designated color under different individual saturation control values and individual hue control values;

the color value of each designated color under different individual saturation control values and individual hue control values may be obtained according to the requirements of the user, and the obtaining process may be as follows:

sending a full white field signal and different color signals to a contrast machine to enable the contrast television to display the full white field signal and the different color signals,

alternatively, a contrast television with standard image quality is sent with full white field signals of all gray levels and 14 different color signals, where the full white field signals are shown in table 10 and the 14 different color signals are shown in table 11.

Watch 10

Full white field signal	R	G	B
				0	0	0	0
10％	26	26	26
				20％	51	51	51
30％	77	77	77
				40％	102	102	102
50％	128	128	128
				60％	153	153	153
70％	179	179	179
				80％	204	204	204
90％	230	230	230
				100％	255	255	255

TABLE 11

Receiving color coordinates and brightness corresponding to the full white field signals and the 14 signals with different colors acquired by a color thermometer to obtain tristimulus values corresponding to the color coordinates and the brightness, and obtaining color values of the specified colors under different individual saturation control values and individual hue control values according to a color coordinate calculation formula and a tristimulus value calculation formula.

Each color has an individual saturation control value and an individual hue control value corresponding to a range of values from 20 to 80, as shown in table 12.

TABLE 12

And carrying out linear interpolation processing on the individual saturation control value and the individual hue control value within the range of 20-80 to obtain the individual saturation control value and the color value under the individual hue control value corresponding to each designated color within the range of 20-80.

S404, calculating standard color coordinates corresponding to color values of the designated colors under different individual saturation control values and individual hue control values based on a second tristimulus value table;

determining a target individual saturation control value and a target individual hue control value corresponding to each designated color based on standard color coordinates of each designated color, and taking the individual saturation control value and the target individual hue control value corresponding to each designated color as image quality adjustment information of the television;

and carrying out linear interpolation processing on the single saturation control value and the single hue control value within the value range of 20-80, and calculating the color values corresponding to all the corresponding gray scales based on the tristimulus values corresponding to the specified colors. The results are shown in Table 13.

Watch 13

Colour(s)	R	G	B	ICC	IHC	SR	SG	SB
									R(RED)	240	0	0	20	20	104.00	22.00	73.00
R(RED)	240	0	0	20	25	105.70	22.5	66.00
									R(RED)	240	0	0	20	30	108.50	22.25	58.00
R(RED)	240	0	0	20	35	109.00	23.00	50.25
									R(RED)	240	0	0	20	40	108.50	23.75	42.00
R(RED)	240	0	0	…	…	…	…	…
									R(RED)	240	0	0	25	20	119.00	16.75	81.25
R(RED)	240	0	0	…	…	…	…	…
									R(RED)	240	0	0	25	75	125.20	18.00	51.60
R(RED)	240	0	0	25	80	125.30	17.50	41.50
									R(RED)	240	0	0	30	20	110.20	8.50	20.50
R(RED)	240	0	0	30	25	108.40	7.50	18.59

And calculating standard color coordinates respectively corresponding to the color values of the designated colors under different individual saturation control values and individual hue control values based on the second tristimulus value table.

As shown in table 13, the SR, SG, and SB values refer to the individual saturation control values of 20 to 80 when the color value of the red signal is (240, 0), and the corresponding color values when the individual hue control value is 20 to 80.

And when the standard color coordinates corresponding to the SR value, the SG value and the SB value of the calculated color signal under a certain single saturation control value and a certain single hue control value are closest to the corresponding target color coordinates, the SR value, the SG value, the ICC value and the IHC value corresponding to the SB value are the target single saturation control value and the target single hue control value at the moment.

Taking the red signal with color values of (240, 0) as an example, as shown in table 13, when the individual saturation control value is 20 and the individual hue control value is 20, the corresponding SR value is 104, the tristimulus value of the red signal corresponding to the gray scale 104 is searched in the second tristimulus value table, based on the tristimulus value of the red signal corresponding to the gray scale 104, the standard color coordinate corresponding to the tristimulus value of the red signal corresponding to the gray scale 104 is obtained according to the color coordinate calculation formula, all the SR values, SG values, and SB values of the red signal with the color value of (240, 0) are traversed, all the standard color coordinates corresponding to the color signal with the color value of (240, 0) are calculated, the standard color coordinate closest to the corresponding target color coordinate is searched, and at this time, the ICC values, SG values, ICC values, and IHC values corresponding to the SB values are the target individual saturation control value and the target individual hue control value.

For example, if the standard color coordinate corresponding to the tristimulus value of the red signal corresponding to the gray level 104, the standard color coordinate corresponding to the tristimulus value of the green signal corresponding to the gray level 22, and the standard color coordinate corresponding to the tristimulus value of the blue signal corresponding to the gray level 73 are closest to the corresponding target color coordinates, the individual saturation control value corresponding to the SR value 104, the SG value 22, and the SB value 73 is 20, and the individual hue control value is 20, the target individual saturation control value is 20, the target individual hue control value is 20, the individual saturation control value is 20, and the individual hue control value is 20, are used as the image quality adjustment information of the television.

And when the traversal is finished, all the corrected individual saturation control values and the corrected individual hue control values are used as the image quality adjusting information of the television.

S405, sending the image quality adjusting information to the television so that the television can adjust the image quality according to the image quality adjusting information.

And sending the corrected result of the individual saturation control value and the individual hue control value in the color processing parameter to the television so that the television starts the automatic image quality adjusting process according to the image quality adjusting information.

In the embodiment of the application, a test signal of a specified gray scale is firstly transmitted to a television, so that the television respectively displays the test signal of the specified gray scale, then a first color coordinate and a first brightness corresponding to the test signal of each specified gray scale transmitted by a color thermometer are received, a first tristimulus value table is obtained based on the first color coordinate and the first brightness, the first tristimulus value table is corrected to generate a second tristimulus value table, a standard color coordinate corresponding to the color value of each specified color under different individual saturation control values and individual hue control values is calculated based on the second tristimulus value table, a target individual saturation control value and a target individual hue control value corresponding to each specified color are determined based on the standard color coordinate, and the target individual saturation control value and the target individual hue control value are used as image quality adjusting information of the television. And finally, sending the image quality adjusting information to the television so that the television adjusts the image quality according to the image quality adjusting information. The picture quality adjusting information of the television can be determined only based on the first color coordinate and the first brightness acquired by the color temperature instrument, and then the picture quality adjusting information is sent to the television, so that the television can adjust the picture quality according to the picture quality adjusting information, a worker of a television manufacturer does not need to take corresponding adjusting equipment to go out to a customer site for picture quality adjustment, and the picture quality adjusting information is determined after data processing is carried out by the mobile terminal, thereby avoiding influence on the accuracy of the result of the picture quality adjustment due to personal subjectivity and difference caused by artificial picture quality adjustment, and improving the accuracy of the picture quality adjustment.

The following are embodiments of the apparatus of the present application that may be used to perform embodiments of the method of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the embodiments of the method of the present application.

Fig. 6 is a schematic structural diagram of an image quality adjustment apparatus according to an exemplary embodiment of the present application. The image quality adjusting apparatus may be implemented as all or a part of the terminal by software, hardware, or a combination of both. The apparatus 1 includes a signal transmission module 10, an information determination module 20, and an information transmission module 30.

The signal sending module 10 is configured to send a test signal to a television, so that the television displays the test signal;

the information determining module 20 is configured to receive a first color coordinate and a first brightness sent by a color temperature meter, and determine image quality adjustment information of the television based on the first color coordinate and the first brightness, where the first color coordinate and the first brightness are a color coordinate and a brightness acquired by the color temperature meter for a test signal displayed by the television;

and the information sending module 30 is configured to send the image quality adjustment information to the television, so that the television performs image quality adjustment according to the image quality adjustment information.

Optionally, the signal sending module 10 is specifically configured to:

and sending a test signal of a specified gray scale to a television so as to enable the television to respectively display the test signal of the specified gray scale, wherein the test signal respectively comprises a red signal, a green signal and a blue signal.

Optionally, the information determining module 20 is specifically configured to:

receiving a first color coordinate and a first brightness corresponding to a test signal of each appointed gray scale sent by a color thermometer, and determining image quality adjusting information of the television based on the first color coordinate and the first brightness of each appointed gray scale.

Optionally, as shown in fig. 7, the information determining module 20 includes:

a tristimulus value calculation unit 201, configured to calculate a tristimulus value corresponding to each of the designated gray scales based on the first color coordinate and the first brightness of each of the designated gray scales;

a first tristimulus value table obtaining unit 202, configured to perform linear interpolation processing on the tristimulus values corresponding to each designated gray scale to obtain a first tristimulus value table including tristimulus values of all gray scales;

a second tristimulus value table obtaining unit 203, configured to calculate target luminances corresponding to all the gray scales, and correct the first tristimulus value table based on the first luminances corresponding to all the gray scales and the target luminances, to obtain a second tristimulus value table;

and a color value calculating unit 204, configured to calculate color values corresponding to all gray levels based on the second tristimulus value table, and use the color values as image quality adjustment information of the television.

Optionally, the second tristimulus value table obtaining unit 203 is specifically configured to:

sequentially traversing each gray scale, and calculating the target brightness corresponding to the currently traversed target gray scale;

searching target first brightness matched with the target brightness corresponding to the target gray scale in the first brightness corresponding to all the gray scales, and determining a reference gray scale corresponding to the target first brightness;

obtaining a tristimulus value of a corrected blue signal corresponding to the target gray scale based on the tristimulus value of the corrected green signal of the target gray scale, the tristimulus value of a red signal corresponding to the target gray scale, a y color coordinate calculation formula of a white field signal and a target y color coordinate;

Optionally, the color value calculating unit 204 is specifically configured to:

calculating second color coordinates and second brightness of all gray scales based on the second tristimulus value table;

and calculating color values corresponding to all gray scales based on the second color coordinates and the second brightness, and taking the color values as the image quality adjusting information of the television.

Optionally, as shown in fig. 8, the information determining module 20 includes:

a second tristimulus value table obtaining unit 203, configured to calculate target luminances corresponding to all the gray scales, and correct the first tristimulus value table based on the first luminances corresponding to all the gray scales and the target luminances to obtain a second tristimulus value table;

a white balance value obtaining unit 205 in the standard mode, configured to obtain a white balance value in the standard mode based on the second tristimulus value table;

and a white balance value correcting unit 206, configured to correct the white balance values in the warm color mode and the cold color mode based on the white balance value in the standard mode, and use the corrected white balance value in the warm color mode and the corrected white balance value in the cold color mode as the image quality adjustment information of the television.

Optionally, as shown in fig. 9, the information determining module 20 includes:

a color value obtaining unit 207, configured to determine at least one designated color, and perform linear interpolation processing on the individual saturation control value and the individual hue control value within the value range to obtain a color value of each designated color under different individual saturation control values and individual hue control values;

a standard color coordinate calculation unit 208, configured to calculate, based on the second tristimulus value table, standard color coordinates corresponding to color values of the designated colors under different individual saturation control values and individual hue control values, respectively;

a color parameter determining unit 209, configured to determine a target individual saturation control value and a target individual hue control value corresponding to each of the designated colors based on the standard color coordinates of each of the designated colors, and use the target individual saturation control value and the target individual hue control value corresponding to each of the designated colors as the image quality adjustment information of the television.

In an embodiment of the present application, a test signal is first transmitted to a television, so that the television displays the test signal, then a first color coordinate and a first brightness transmitted by a color temperature meter are received, image quality adjustment information of the television is determined based on the first color coordinate and the first brightness, where the first color coordinate and the first brightness are acquired by the color temperature meter for the test signal displayed by the television, and finally the image quality adjustment information is transmitted to the television, so that the television performs image quality adjustment according to the image quality adjustment information. The picture quality adjusting information of the television can be determined only based on the first color coordinate and the first brightness acquired by the color temperature instrument, and then the picture quality adjusting information is sent to the television, so that the television can adjust the picture quality according to the picture quality adjusting information, a worker of a television manufacturer does not need to take corresponding adjusting equipment to go out to a customer site for picture quality adjustment, and the picture quality adjusting information is determined after data processing is carried out by the mobile terminal, thereby avoiding influence on the accuracy of the result of the picture quality adjustment due to personal subjectivity and difference caused by artificial picture quality adjustment, and improving the accuracy of the picture quality adjustment.

It should be noted that, when the image quality adjusting apparatus provided in the above embodiment executes the image quality adjusting method, only the division of the above functional modules is taken as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to complete all or part of the above described functions. In addition, the image quality adjusting apparatus and the image quality adjustment generating method provided by the above embodiments belong to the same concept, and the detailed implementation process thereof is referred to as the method embodiment, which is not described herein again.

The above-mentioned serial numbers of the embodiments of the present application are merely for description, and do not represent the advantages and disadvantages of the embodiments.

An embodiment of the present application further provides a computer storage medium, where the computer storage medium may store a plurality of instructions, where the instructions are suitable for being loaded by a processor and executing the method steps in the embodiments shown in fig. 2 to 5, and a specific execution process may refer to specific descriptions of the embodiments shown in fig. 2 to 5, which are not described herein again.

The present application further provides a computer program product, where at least one instruction is stored, and the at least one instruction is loaded by the processor and executes the method steps in the embodiments shown in fig. 2 to fig. 5, where a specific execution process may refer to specific descriptions in the embodiments shown in fig. 2 to fig. 5, which is not described herein again.

Please refer to fig. 10, which provides a schematic structural diagram of an electronic device according to an embodiment of the present disclosure. As shown in fig. 8, the mobile terminal 1000 may include: at least one processor 1001, at least one network interface 1004, a user interface 1003, memory 1005, at least one communication bus 1002.

Wherein a communication bus 1002 is used to enable connective communication between these components.

The user interface 1003 may include a Display screen (Display) and a Camera (Camera), and the optional user interface 1003 may also include a standard wired interface and a wireless interface.

The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), among others.

Processor 1001 may include one or more processing cores, among other things. The processor 1001 interfaces various components throughout the electronic device 1000 using various interfaces and lines to perform various functions of the electronic device 1000 and to process data by executing or performing instructions, programs, code sets, or instruction sets stored in the memory 1005 and invoking data stored in the memory 1005. Alternatively, the processor 1001 may be implemented in at least one hardware form of Digital Signal Processing (DSP), field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 1001 may integrate one or a combination of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a modem, and the like. The CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display screen; the modem is used to handle wireless communications. It is understood that the above modem may not be integrated into the processor 1001, and may be implemented by a single chip.

The Memory 1005 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 1005 includes a non-transitory computer-readable medium. The memory 1005 may be used to store an instruction, a program, code, a set of codes, or a set of instructions. The memory 1005 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the various method embodiments described above, and the like; the storage data area may store data and the like referred to in the above respective method embodiments. The memory 1005 may alternatively be at least one memory device located remotely from the processor 1001. As shown in fig. 10, a memory 1005, which is one type of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and an iris image capture application program.

In the mobile terminal 1000 shown in fig. 10, the user interface 1003 is mainly used as an interface for providing input for a user, and acquiring data input by the user; the processor 1001 may be configured to call the generated image quality adjustment application stored in the memory 1005, and specifically perform the following operations:

In an embodiment, when executing the sending of the test signal to the television to enable the television to display the test signal, the processor 1001 specifically executes the following operations:

sending a test signal of a designated gray scale to a television, so that the television respectively displays the test signal of the designated gray scale, wherein the test signal respectively comprises a red signal, a green signal and a blue signal;

when the processor 1001 determines the image quality adjustment information of the television based on the first color coordinate and the first brightness of each of the designated orders, the following operations are specifically performed:

receiving a first color coordinate and a first brightness corresponding to a test signal of each appointed gray scale sent by a color temperature instrument, and calculating a tristimulus value corresponding to each appointed gray scale based on the first color coordinate and the first brightness of each appointed gray scale;

obtaining a tristimulus value of a red signal corresponding to the target gray scale after correction based on a tristimulus value of a green signal after correction of the target gray scale, a tristimulus value of a blue signal after correction of the target gray scale, an x color coordinate calculation formula of a white field signal and a target x color coordinate;

when traversing is completed, generating a second tristimulus value table;

and calculating color values corresponding to all gray scales based on the second color coordinates and the second brightness, and taking the color values as picture quality adjusting information of the television.

In an embodiment, when the processor 1001 determines the image quality adjustment information of the television according to the first color coordinate and the first brightness of each of the specified orders, the following operations are specifically performed:

obtaining a first tristimulus value table containing tristimulus values of all gray scales based on the first color coordinate and the first brightness;

acquiring a white balance value in a standard mode based on the second tristimulus value table;

and correcting the white balance values of the warm color mode and the cold color mode based on the white balance value in the standard mode, wherein the corrected white balance value of the warm color mode and the corrected white balance value of the cold color mode are used as the image quality adjusting information of the television.

In an embodiment, when the processor 1001 determines the picture quality adjustment information of the television based on the first color coordinates and the first brightness at each of the specified orders, the following operations are specifically performed:

determining at least one designated color, and performing linear interpolation processing on the independent saturation control value and the independent hue control value in the value range to obtain the color value of each designated color under different independent saturation control values and independent hue control values;

calculating color coordinates corresponding to the color values of the designated colors under different independent saturation control values and independent hue control values based on a second tri-stimulus value table;

and determining a target independent saturation control value and a target independent hue control value corresponding to each designated color based on the standard color coordinates of each designated color, and taking the target independent saturation control value and the target independent hue control value corresponding to each designated color as image quality adjusting information of the television.

In an embodiment of the present application, a test signal is first sent to a television to enable the television to display the test signal, then a first color coordinate and a first brightness sent by a color temperature meter are received, image quality adjustment information of the television is determined based on the first color coordinate and the first brightness, the first color coordinate and the first brightness are the color coordinate and the brightness acquired by the color temperature meter for the test signal displayed by the television, and finally the image quality adjustment information is sent to the television to enable the television to perform image quality adjustment according to the image quality adjustment information. The picture quality adjusting information of the television can be determined only based on the first color coordinate and the first brightness acquired by the color temperature instrument, and then the picture quality adjusting information is sent to the television, so that the television can adjust the picture quality according to the picture quality adjusting information, a worker of a television manufacturer does not need to take corresponding adjusting equipment to go out to a customer site for picture quality adjustment, and the picture quality adjusting information is determined after data processing is carried out by the mobile terminal, thereby avoiding influence on the accuracy of the result of the picture quality adjustment due to personal subjectivity and difference caused by artificial picture quality adjustment, and improving the accuracy of the picture quality adjustment.

It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a read-only memory or a random access memory. The above disclosure is only for the purpose of illustrating the preferred embodiments of the present application and should not be taken as limiting the scope of the present application, so that the present application will be covered by the appended claims.

Claims

1. A picture quality adjusting method is applied to terminal equipment and comprises the following steps:

2. The method of claim 1, wherein said transmitting a test signal to a television to cause the television to display the test signal comprises:

sending a test signal of a designated gray scale to a television to enable the television to respectively display the test signal of the designated gray scale, wherein the test signal respectively comprises a red signal, a green signal and a blue signal;

the receiving a first color coordinate and a first brightness sent by a color temperature meter, and determining picture quality adjustment information of the television based on the first color coordinate and the first brightness, includes:

receiving a first color coordinate and a first brightness corresponding to a test signal of each appointed gray scale sent by a color temperature instrument, and determining the picture quality adjusting information of the television based on the first color coordinate and the first brightness of each appointed gray scale.

3. The method of claim 2, wherein determining the television quality adjustment information based on the first color coordinates and the first brightness at each of the specified orders comprises:

calculating a tristimulus value corresponding to each appointed gray scale based on the first color coordinate and the first brightness of each appointed gray scale;

and calculating color values corresponding to all gray scales based on the second tristimulus value table, and taking the color values as picture quality adjustment information of the television.

4. The method of claim 3, wherein calculating the target luminance corresponding to all gray levels, and based on the first luminance corresponding to all gray levels and the target luminance, correcting the first tristimulus value table to obtain a second tristimulus value table comprises:

5. The method according to claim 3, wherein the calculating color values corresponding to all gray levels based on the second tristimulus value table, and using the color values as the picture quality adjustment information of the television comprises:

6. The method of claim 1, wherein the determining picture quality adjustment information for the television based on the first color coordinate and the first brightness comprises:

and correcting the white balance values of the warm color mode and the cold color mode based on the white balance value in the standard mode, and using the corrected white balance value in the warm color mode and the corrected white balance value in the cold color mode as the image quality adjusting information of the television.

7. The method of claim 1, wherein determining the picture quality adjustment information of the television based on the first color coordinate and the first brightness comprises:

determining at least one designated color, and performing linear interpolation processing on an individual saturation control value and an individual hue control value in a value range to obtain a color value of each designated color under different individual saturation control values and individual hue control values;

calculating standard color coordinates corresponding to color values of the designated colors under different individual saturation control values and individual hue control values based on a second tristimulus value table;

and determining a target individual saturation control value and a target individual hue control value corresponding to each designated color based on the standard color coordinates of each designated color, and using the target individual saturation control value and the target individual hue control value corresponding to each designated color as image quality adjustment information of the television.

8. The image quality adjusting method is applied to an image quality adjusting system, the image quality adjusting system comprises a terminal device, a television and a color temperature meter, wherein:

the terminal equipment sends a test signal to the television;

the television receives and displays the test signal;

the color temperature meter collects a first color coordinate and a first brightness of a test signal displayed by the television and sends the first color coordinate and the first brightness to the terminal equipment;

9. The method of claim 8, wherein the terminal device sends a test signal to the television, comprising:

and the terminal equipment sends a test signal of a specified gray scale to the television, and the test signal comprises a red signal, a green signal and a blue signal respectively.

10. The method of claim 8, wherein the television receiving and displaying the test signal comprises:

and the television respectively receives and displays the test signals of the specified gray scale.

11. The method according to claim 8, wherein the color thermometer collects a first color coordinate and a first brightness of the test signal displayed by the television, and transmits the first color coordinate and the first brightness to the terminal device, and the method comprises:

the color temperature instrument acquires a first color coordinate and a first brightness of the test signal of the appointed gray scale respectively displayed by the television, and sends the first color coordinate and the first brightness to the terminal equipment;

the terminal device receives the first color coordinate and the first brightness, and determines picture quality adjustment information of the television based on the first color coordinate and the first brightness, including:

and the terminal equipment receives the first color coordinate and the first brightness corresponding to the test signal of each appointed gray scale sent by the color thermometer, and determines the image quality adjusting information of the television based on the first color coordinate and the first brightness of each appointed gray scale.

12. The method according to claim 11, wherein the determining, by the terminal device, the picture quality adjustment information of the television based on the first color coordinate and the first brightness of each of the designated gray scales comprises:

the terminal equipment calculates the tristimulus values corresponding to the specified gray scales based on the first color coordinates and the first brightness of the specified gray scales;

the terminal equipment performs linear interpolation processing on the tristimulus values corresponding to the designated gray scales to obtain a first tristimulus value table containing the tristimulus values of all the gray scales;

the terminal equipment calculates target brightness corresponding to all gray scales, and corrects the first tristimulus value table based on first brightness corresponding to all gray scales and the target brightness to obtain a second tristimulus value table;

and the terminal equipment calculates the color values corresponding to all the gray scales on the basis of the second tristimulus value table, and takes the color values as the picture quality adjusting information of the television.

13. The method according to claim 12, wherein the terminal device calculates target luminances corresponding to all gray levels, and corrects the first tristimulus value table based on the first luminances corresponding to all gray levels and the target luminances to obtain a second tristimulus value table, and the method comprises:

the terminal equipment sequentially traverses each gray scale and calculates the target brightness corresponding to the currently traversed target gray scale;

the terminal equipment searches for target first brightness matched with the target brightness corresponding to the target gray scale in the first brightness corresponding to all the gray scales, and determines a reference gray scale corresponding to the target first brightness;

the terminal equipment searches the tristimulus values of the green signals corresponding to the reference gray scale in the first tristimulus value table, and corrects the tristimulus values of the green signals corresponding to the target gray scale into the tristimulus values of the green signals corresponding to the reference gray scale;

the terminal equipment obtains a tristimulus value of a corrected blue signal corresponding to the target gray scale based on the tristimulus value of the corrected green signal of the target gray scale, the tristimulus value of a red signal corresponding to the target gray scale, a y color coordinate calculation formula of a white field signal and a target y color coordinate;

the terminal equipment obtains a tristimulus value of a red signal corresponding to the target gray scale after correction based on the tristimulus value of the green signal after correction of the target gray scale, the tristimulus value of the blue signal after correction of the target gray scale, an x color coordinate calculation formula of a white field signal and a target x color coordinate;

and when the terminal equipment finishes traversing, generating a second third stimulus value table.

14. The method according to claim 13, wherein the calculating, by the terminal device, the color values corresponding to all gray levels based on the second tristimulus value table, and using the color values as the picture quality adjustment information of the television, comprises:

the terminal equipment calculates second color coordinates and second brightness of all gray scales based on the second tristimulus value table;

and the terminal equipment calculates color values corresponding to all gray scales based on the second color coordinate and the second brightness, and takes the color values as the image quality adjusting information of the television.

15. The method of claim 8, wherein determining the picture quality adjustment information of the television based on the first color coordinate and the first brightness comprises:

the terminal equipment obtains a first tristimulus value table containing tristimulus values of all gray scales based on the first color coordinate and the first brightness;

the terminal equipment acquires a white balance value in a standard mode based on the second tristimulus value table;

and the terminal equipment corrects the white balance values of the warm color mode and the cold color mode based on the white balance value in the standard mode, and takes the corrected white balance value in the warm color mode and the corrected white balance value in the cold color mode as the image quality adjusting information of the television.

16. The method of claim 8, wherein determining the picture quality adjustment information of the television based on the first color coordinate and the first brightness comprises:

the terminal equipment determines at least one designated color, and linear interpolation processing is carried out on an individual saturation control value and an individual hue control value in a value range to obtain a color value of each designated color under different individual saturation control values and individual hue control values;

the terminal equipment calculates standard color coordinates corresponding to the color values of the designated colors under different individual saturation control values and individual hue control values based on a second tristimulus value table;

and the terminal equipment determines a target individual saturation control value and a target individual hue control value corresponding to each specified color based on the standard color coordinates of each specified color, and takes the target individual saturation control value and the target individual hue control value corresponding to each specified color as the image quality adjusting information of the television.

17. An apparatus for adjusting image quality, the apparatus comprising:

the signal sending module is used for sending a test signal to a television so as to enable the television to display the test signal;

18. A computer storage medium, characterized in that it stores a plurality of instructions adapted to be loaded by a processor and to perform the method steps according to any one of claims 1 to 7.

19. An electronic device, comprising: a processor and a memory; wherein the memory stores a computer program adapted to be loaded by the processor and to perform the method steps of any of claims 1 to 7.