CN113453082A - Intelligent television image automatic adjustment processing method and device, intelligent television and medium - Google Patents
Intelligent television image automatic adjustment processing method and device, intelligent television and medium Download PDFInfo
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Abstract
The invention discloses an automatic image adjusting and processing method and device for an intelligent television, the intelligent television and a medium, wherein the method comprises the following steps: the smart television acquires television brightness data and chrominance data detected by the mobile terminal; the intelligent television analyzes the brightness, hue and saturation data of the television according to the brightness data and the chroma data of the television, and compares the brightness, hue and saturation data with a preset standard numerical value of a test picture to obtain corresponding deviation; calculating the numerical values of the adjustment items of the brightness, the hue, the saturation and the contrast of the television to be adjusted according to the deviation of the items; and applying the value to the television image setting according to the adjustment item needing to be adjusted. The method aims to solve the problem that in the prior art, when a user adjusts the image parameter setting of the intelligent television, the parameters such as brightness, hue, saturation, contrast and the like can only be observed and set one by human eyes, and the process is complicated.
Description
Technical Field
The invention relates to the technical field of intelligent televisions, in particular to an automatic image adjusting and processing method and device for an intelligent television, the intelligent television and a medium.
Background
With the development of science and technology and the continuous improvement of the living standard of people, the use of various smart televisions is more and more popular, and the smart televisions become indispensable entertainment tools in the life of people.
During the image parameter setting of prior art's smart television, the user adjusts luminance, hue, saturation, contrast through people's eye observation, adjusts observation effect change one by one, and the process is loaded down with trivial details, inconvenient user's use.
Thus, there is a need for improvements and enhancements in the art.
Disclosure of Invention
The invention aims to solve the technical problems that the brightness and chromaticity data measured by an optical sensor of a mobile phone are transmitted to the smart television, the television optimizes the image parameter setting according to data calculation, the problem of complexity and inconvenience in the image parameter setting process is solved, the purpose of convenient image parameter setting is achieved, and convenience is brought to the use of a user.
In order to solve the technical problems, the technical scheme adopted by the invention is as follows:
an automatic image adjustment processing method for an intelligent television is disclosed, wherein the method comprises the following steps:
the smart television acquires television brightness data and chrominance data detected by the mobile terminal;
the intelligent television analyzes the brightness, hue and saturation data of the television according to the brightness data and the chroma data of the television, and compares the brightness, hue and saturation data with a preset standard numerical value of a test picture to obtain corresponding deviation;
calculating the numerical values of the adjustment items of the brightness, the hue, the saturation and the contrast of the television to be adjusted according to the deviation of the items;
and applying the value to the television image setting according to the adjustment item needing to be adjusted.
The method for automatically adjusting and processing the image of the intelligent television comprises the following steps of:
and setting a standard value of a test picture for image parameter adjustment reference of the intelligent television in advance on the intelligent television.
The method for automatically adjusting and processing the image of the intelligent television comprises the following steps that the intelligent television acquires television brightness data and chrominance data detected by a mobile terminal:
the intelligent television is connected with the mobile terminal through Bluetooth or Wifi;
the intelligent television enters a detection and verification state, displays the measured standard pictures one by one, and prompts a user to measure the brightness data and the chromaticity data of the television by adopting a mobile terminal through a window;
acquiring and measuring the display of the brightness and color of the television through an optical sensor of the mobile terminal to obtain the brightness data and the chromaticity data of the television;
the intelligent television acquires television brightness data and chrominance data detected by the mobile terminal.
The method for automatically adjusting and processing the image of the intelligent television comprises the following steps that the intelligent television acquires television brightness data and chrominance data detected by a mobile terminal:
the intelligent television is connected with the mobile terminal through Bluetooth or Wifi;
the smart television enters a checking mode, displays a standard picture, and prompts a user to adopt a mobile terminal to measure television brightness data and chrominance data through a window;
the method comprises the steps that an optical sensor of the mobile terminal is close to a television screen, the display of the brightness and color of the television is measured, and the brightness data and the chromaticity data of the television are obtained and transmitted to the smart television;
the smart television receives and acquires television brightness data and chrominance data detected by the mobile terminal and displays the next standard picture; the optical sensor of the mobile terminal detects the television screen again, the display of the brightness and the color of the television is measured, and the brightness data and the chromaticity data of the television are obtained and transmitted to the smart television;
and ending the measurement of all the standard pictures displayed by the intelligent television.
The method for automatically adjusting and processing the image of the intelligent television comprises the following steps of analyzing brightness, hue and saturation data of the television by the intelligent television according to the brightness data and the chroma data of the television, and comparing the brightness, hue and saturation data with a preset standard numerical value of a test picture to obtain corresponding deviations:
the intelligent television analyzes the brightness, hue and saturation data of the television according to the brightness data and the chromaticity data of the television;
comparing the brightness data with brightness data in a standard numerical value of a preset test picture to obtain corresponding brightness item deviation;
comparing the tone data with tone data in a preset standard numerical value of a test picture to obtain corresponding tone item deviation;
and comparing the saturation data with saturation data in a preset standard numerical value of the test picture to obtain corresponding saturation item deviation.
The method for automatically adjusting and processing the image of the intelligent television comprises the following steps of calculating the numerical values of adjusting items of brightness, hue, saturation and contrast of the television, which need to be adjusted, according to the deviation of the items of brightness, hue, saturation and contrast of the television:
and calculating the numerical values of the adjustment items of the brightness, the hue, the saturation and the contrast of the television, which need to be adjusted, according to the brightness item deviation, the hue item deviation and the saturation item deviation.
The method for automatically adjusting and processing the image of the intelligent television comprises the following steps of applying the numerical value to the television image setting according to the adjustment item required to be adjusted:
prompting whether the television image setting is applied or not through a prompt window according to the numerical value required to be adjusted by the adjusting item;
when receiving a user operation instruction, setting the value of the adjustment item to be adjusted to the intelligent television, controlling to apply the value of the adjustment item to be adjusted to the television image setting so as to automatically adjust the image of the intelligent television.
An automatic image adjustment processing device for a smart television, wherein the device comprises:
the acquisition module is used for controlling the smart television to acquire television brightness data and chrominance data detected by the mobile terminal;
the analysis and comparison module is used for controlling the intelligent television to analyze the brightness, hue and saturation data of the television according to the brightness data and the chromaticity data of the television and compare the brightness, hue and saturation data with a preset standard numerical value of a test picture to obtain corresponding deviation;
the adjusting parameter confirming module is used for calculating the numerical values of adjusting items of the brightness, the hue, the saturation and the contrast of the television to be adjusted according to the deviation;
and the parameter application module is used for applying the numerical values to the television image setting according to the numerical values required to be adjusted by the adjusting items.
The intelligent television comprises a memory, a processor and an intelligent television image automatic adjustment processing program which is stored in the memory and can run on the processor, wherein when the processor executes the intelligent television image automatic adjustment processing program, the steps of any one of the intelligent television image automatic adjustment processing methods are realized.
A computer readable storage medium, wherein the computer readable storage medium stores an intelligent television image automatic adjustment processing program, and when the intelligent television image automatic adjustment processing program is executed by a processor, the steps of any one of the intelligent television image automatic adjustment processing methods are realized.
Has the advantages that: compared with the prior art, the invention provides an automatic image adjusting and processing method for an intelligent television, which comprises the following steps: the smart television acquires television brightness data and chrominance data detected by the mobile terminal; the intelligent television analyzes the brightness, hue and saturation data of the television according to the brightness data and the chroma data of the television, and compares the brightness, hue and saturation data with a preset standard numerical value of a test picture to obtain corresponding deviation; calculating the numerical values of the adjustment items of the brightness, the hue, the saturation and the contrast of the television to be adjusted according to the deviation of the items; and applying the value to the television image setting according to the adjustment item needing to be adjusted. The optical sensor of the mobile terminal measures brightness and chromaticity data for the television, so that the television automatically adjusts image chromatic aberration according to the measured brightness and chromaticity data, more accurate color adjustment is achieved compared with human eyes, complicated operation that a user adjusts various color parameters one by one is omitted, convenience is brought to the user, and user experience is improved.
Drawings
Fig. 1 is a flowchart of a specific implementation of an image automatic adjustment processing method for a smart television according to an embodiment of the present invention.
Fig. 2 is a schematic flow diagram of acquiring, by an intelligent television, color data such as television brightness and chromaticity detected by a mobile terminal according to an embodiment of the present invention.
Fig. 3 is a schematic flowchart of a process of obtaining a deviation value of a current display color by the smart television according to comparison between obtained color data such as luminance and chromaticity and a standard value.
Fig. 4 is a schematic flow chart of a process in which the smart television according to the embodiment of the present invention obtains a value to be adjusted through calculation of color deviation values.
Fig. 5 is a schematic flowchart of a process of setting a television image setting according to a value to be adjusted by a smart television according to an embodiment of the present invention
FIG. 6 is a flowchart of steps provided in a second embodiment of the present invention.
Fig. 7 is a schematic block diagram of an automatic image adjustment processing apparatus of an intelligent television according to an embodiment of the present invention.
Fig. 8 is a schematic diagram of an internal structure of a terminal device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and effects of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
It should be noted that, if directional indications (such as up, down, left, right, front, and back … …) are involved in the embodiment of the present invention, the directional indications are only used to explain the relative positional relationship between the components, the movement situation, and the like in a specific posture (as shown in the drawing), and if the specific posture is changed, the directional indications are changed accordingly.
In addition, if there is a description of "first", "second", etc. in an embodiment of the present invention, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
With the development of science and technology and the continuous improvement of the living standard of people, the requirements of people on display equipment are higher and higher, and more people try to find the film viewing experience of the situation to pursue the display equipment with high contrast, high color gamut and high color accuracy. Although the display device is updated at a higher speed, in fact, more families replace televisions and computer display screens for at least three years, and the televisions are replaced for five years according to different use frequencies.
According to research, the deviation of the color accuracy and brightness of the display device becomes more and more serious as the display device is used for a longer time, and for a designer, a computer display of the designer needs to be calibrated by using a professional color calibration device basically every month or even every week, and most users can only adjust color parameters of the television and computer display one by one, such as brightness, hue, saturation, contrast and the like according to human eyes in order to experience better display effects of the television and computer display screen. The color adjusted by human eyes can not only meet the requirement of the color accuracy, but also be a big decoction for users due to the complicated adjusting process.
In order to solve the above problems, an embodiment of the present invention provides an automatic image adjustment processing method for a smart television, where an optical sensor mounted on a mobile terminal is used to measure color data such as luminance and chromaticity for a television; after the measurement is finished, the mobile terminal returns the obtained color data to the television through wireless communication; and the television calibrates the colors of the television according to the preset color data and the obtained color data of the current television, and applies the calibrated colors to image display. By the method, a user can adjust the color parameters for the television more accurately and conveniently, and the user experience is improved.
Exemplary method
First embodiment
As shown in fig. 1, an embodiment of the present invention provides an automatic image adjustment processing method for a smart television, where the automatic image adjustment processing method for a smart television can be used in a television. The method in the embodiment of the invention comprises the following steps:
s100, the smart television acquires television brightness data and chrominance data detected by the mobile terminal;
in this embodiment, the smart television acquires television luminance data and chrominance data detected by the mobile terminal through the optical sensor. The chrominance data includes hue and saturation, and the chrominance data and the luminance data are simultaneously obtained from RGB values of a color.
Specifically, as shown in fig. 2, step S100 includes:
s101, the smart television is connected with the mobile terminal through Bluetooth or Wifi;
step S102, the smart television enters a detection and verification state, displays the measured standard pictures one by one, and prompts a user to measure the brightness data and the chromaticity data of the television by adopting a mobile terminal through a window;
s103, acquiring and measuring the display of the brightness and the color of the television through the optical sensor of the mobile terminal to obtain the brightness data and the chromaticity data of the television;
and step S104, the smart television acquires television brightness data and chrominance data detected by the mobile terminal.
For example, when a user uses a mobile phone to detect color parameters for a home smart television, the mobile phone and the smart television are connected in advance through WIFI or bluetooth, so that the mobile phone transmits the detected color parameters to the smart television. When a user starts a color checking function or checks an APP of the smart television, the smart television enters a detection checking state, and a smart television through window prompts the user to use a mobile terminal to enable an optical sensor of the mobile terminal to be close to a screen for ensuring accuracy of measurement of luminance data and chrominance data, when the user enables the optical sensor of a mobile phone, such as a camera, to be close to the screen, the smart television starts to appear red in three primary colors forming white, for example, the red RGB value of red displayed by the smart television detected by the mobile phone is RGB1 (251,3,3), and accordingly the red luminance is B1-98%; similarly, when the smart television switches the color of the display picture to the standard green, the measured RGB value RGB2 of the standard green is (10,245,13), and then the brightness of the green displayed by the smart television at this time is calculated to be B2 which is 96%; when the smart television switches the color of a display picture to the standard blue, the measured RGB value RGB3 of the standard blue is (21,15,250), the calculated brightness of the blue displayed by the smart television at that time is B3-98%, after the smart television displays all the colors, the mobile phone transmits the measured brightness and chromaticity data to the smart television through WIFI, and the smart television acquires the RGB values and brightness values of the colors measured by the mobile phone, which are RGB1, RGB2, RGB3, B1, B2 and B3, respectively.
Further, in step S200, the smart television analyzes the brightness, hue and saturation data of the television according to the brightness data and the chromaticity data of the television, and compares the brightness, hue and saturation data with a preset standard value of a test picture to obtain corresponding deviations;
in this embodiment, the smart television analyzes data such as brightness, hue, saturation and the like of the television according to the brightness data and the chromaticity data acquired from the mobile terminal, and compares the brightness, hue and saturation data with a standard value preset in the smart television to obtain a deviation value of a color parameter and a standard color parameter displayed by the smart television at present. The hue is also called hue and is used to indicate the tendency of color, such as reddish, bluish, greenish, etc., the saturation is the purity of color, the color with lower saturation is closer to gray, and the color with higher saturation looks more gorgeous to human eyes.
Specifically, as shown in fig. 3, step S200 includes:
step S201, the intelligent television analyzes the brightness, hue and saturation data of the television according to the brightness data and the chromaticity data of the television;
step S202, comparing the brightness data with brightness data in a standard numerical value of a preset test picture to obtain corresponding brightness item deviation;
step S203, comparing the tone data with tone data in a standard numerical value of a preset test picture to obtain corresponding tone item deviation;
and S204, comparing the saturation data with saturation data in a standard numerical value of a preset test picture to obtain corresponding saturation item deviation.
For example, the smart television acquires, from the mobile phone through WIFI, that the RGB value of the standard color red currently displayed by the smart television is RGB1 ═ 251,3, the hue is H1 ═ 0 °, the saturation is S1 ═ 99%, and the brightness is B ═ 98%; the RGB values RGB2 for standard green (10,245,13), brightness B2-96%, hue H2-121 °, saturation S2-96%; the RGB values RGB3 for standard blue (21,15,250), luminance B3-98%, hue H3-242 °, and saturation S3-94%. The smart television obtains the data of the color parameters currently displayed by the smart television through the obtained values of RGB1, RGB2, RGB3, B1, B2 and B3, wherein the image parameters of the standard red currently displayed by the smart television are RGB1 ═ 251,3 and 3, the brightness is B1 ═ 98%, the hue is H1 ═ 0%, and the saturation is S1 ═ 99%; the standard green image parameters displayed by the current smart television are RGB2 ═ (10,245,13), the brightness is B2 ═ 96%, the hue is H2 ═ 121 °, and the saturation is S2 ═ 96%; the standard blue image parameters of the current smart tv display are RGB3 ═ (21,15,250), brightness B3 ═ 98%, hue H3 ═ 242 °, and saturation S3 ═ 94%.
According to a standard preset by the smart television, the red image parameter RGB1 ═ 255,0, hue H1 ═ 0 °, color saturation S1 ═ 100%, brightness B1 ═ 100%, the image parameter for standard green is RGB2 ═ 0,255,0, hue H2 ═ 120 °, color saturation S2 ═ 100%, brightness B2 ═ 100%, the image parameter for standard blue is RGB3 ═ 0,255, hue H3 ═ 240 °, color saturation S3 ═ 100%, and brightness B3 ═ 100%.
Obtaining a brightness item deviation delta B1 which is-2%, an RGB item deviation delta RGB1 which is-4, 3 and 3%, a hue item deviation delta S1 which is 0% and a saturation item deviation delta S1 which is-1% of the standard red displayed by the current smart television; similarly, the brightness term deviation Δ B2, the RGB term deviation Δ RGB2, the hue term deviation Δ S2, and the saturation term deviation Δ S2 of the standard green color displayed by the smart television are-4%, 10, -10, and 13%, 1%, and-4%, respectively; the brightness term deviation Δ B3, the RGB term deviation Δ RGB3, (21,15, -5), the hue term deviation Δ S3, and the saturation term deviation Δ S3 of the standard blue color currently displayed by smart tv is-2%, and-6%.
Further, step S300, calculating values to be adjusted for adjusting items of the television brightness, the hue, the saturation, and the contrast according to the deviation;
in this embodiment, after the television obtains, through calculation and comparison, deviation values of adjustment items to be adjusted, such as brightness, hue, saturation, and the like, in image parameters, values to be adjusted in the adjustment items are calculated according to the deviation values.
Specifically, as shown in fig. 4, step S300 includes:
and S301, calculating the numerical values of the adjustment items of the brightness, the hue, the saturation and the contrast of the television, which need to be adjusted, according to the brightness item deviation, the hue item deviation and the saturation item deviation.
For example, the smart television calculates the value to be adjusted for each parameter according to the brightness, hue, and saturation obtained by contrast, for example, if the deviation value of the standard red is Δ B1-2%, the deviation value of the hue term Δ RGB1 (-4,3,3), the deviation value of the hue term Δ S1-0%, and the deviation value of the saturation term Δ S1-1%, then the hue, brightness, and saturation should be adjusted respectively, for example, the hue of red is not adjusted, the saturation is increased by 1%, the brightness is increased by 2%, or the value adjusted by directly adjusting the RGB value is to increase the specific gravity of red in the chromaticity by 4, and the specific gravities of green and blue are decreased by 3, 3; if the deviation value of the standard green is Δ B2-4%, the hue term deviation Δ RGB2 is (10, -10,13), the hue term deviation Δ S2 is 1 °, and the saturation term deviation Δ S2 is-4%, the luminance of green should be increased by 4%, the hue 1 should be decreased, the color saturation should be increased by 4%, or the specific gravity of red portion in the hue should be decreased by 10, the specific gravity of green portion should be increased by 10, and the specific gravity of blue portion should be decreased by 13; if the deviation value of the standard blue color is Δ B3 — 2%, the hue term deviation Δ RGB1 (21,15 — 5), the hue term deviation Δ S3 is 2 °, and the saturation term deviation Δ S1 is-6%, the luminance should be increased by 2%, the hue 2 should be decreased, the color saturation should be increased by 6%, or the specific gravity of red 21, the specific gravity of green 15, and the specific gravity of blue 5 should be decreased when the standard blue color is displayed.
Further, step S400, the value to be adjusted according to the adjustment item is applied to the television image setting.
In this embodiment, the calculated value to be adjusted is applied to the television picture setting.
Specifically, as shown in fig. 5, step S400 includes:
s401, prompting whether the value is applied to the television image setting or not through a prompt window according to the value required to be adjusted by the adjusting item;
and S402, when receiving a user operation instruction and setting the value of the adjustment item to be adjusted to the intelligent television, controlling to apply the value of the adjustment item to be adjusted to the television image setting so as to automatically adjust the intelligent television image.
For example, after the smart television obtains the parameter to be adjusted, the user is prompted through the prompt window whether to apply a new image setting, and the comparison between the image of the image before adjustment and the image of the image after adjustment can also be increased while the prompt is performed, so that the user can roughly perform sensory comparison before selection. When a user clicks through a remote controller or a mobile phone connected with the television to confirm the change, the intelligent television applies the adjustment parameters to the television image setting, and the image displayed by the applied television is closer to the real color than the image displayed by the television before adjustment, so that the high color accuracy is achieved, the complex operation of adjusting the television color parameters one by the user is reduced, and the user experience of the user in the process of using the intelligent television for color correction is improved.
The process of the invention is described in further detail below by means of a specific application example:
in this specific application embodiment, the mobile terminal takes a mobile phone as an example, and the television takes an intelligent television as an example, as shown in fig. 6, an automatic image adjustment processing method for an intelligent television in this specific application embodiment includes the following steps:
step S10, start, proceed to step S11;
s11, connecting the mobile phone with the smart television through the Bluetooth, and entering S12;
s12, the television enters a verification mode, a test picture (such as a monochrome picture) is displayed, the mobile phone measurement method is prompted, and the step S13 is entered;
s13, the optical sensor is started by the mobile phone to be close to the screen of the smart television, the mobile phone transmits the measurement data back to the smart television, and the step S14 is entered;
s14, the smart television receives the data, displays the next test picture, the mobile phone starts the optical sensor and transmits the measurement data back to the smart television, the steps are repeated until the measurement is finished, and the step S15 is entered;
step S15, the smart television receives the data, analyzes the brightness, the hue, the saturation and the contrast value, compares the value with a standard value preset by the smart television, calculates the value of brightness, the hue, the saturation and the contrast which needs to be adjusted, and enters step S16;
step S16, the smart television prompts the user whether to apply the calculation result to the smart television, if yes, the step S17 is executed, and if not, the step S18 is executed;
step S17, the smart television applies the calculated result to the television image setting, and the step S18 is carried out;
and step S18, end.
The second embodiment is described in detail by using the above specific implementation method, when a user uses a mobile phone to perform color correction on the smart television, the user controls the smart television to start a software APP for color correction or a self-contained function of the smart television, and controls the mobile phone and the smart television to start bluetooth and perform interconnection; when the smart television enters a color calibration mode, a test picture such as red in three primary colors is displayed, a window is used for prompting a user to enable an optical sensor of a mobile phone to be close to a television screen, the mobile phone obtains the brightness of the red currently displayed by the smart television, which is B4-92%, the hue H4-2%, and the saturation S4-94%, and transmits the data back to the smart television through Bluetooth, the smart television obtains the color parameter of the red currently displayed, switches and displays the next test picture such as green, obtains the brightness B5-96%, the hue H5-110%, and the saturation S5-94% of the current green again, and repeats the steps to obtain the brightness B6-98%, the hue H6-250%, the saturation S6-94%, the brightness B7-98%, the hue H7-200%, and the saturation S7-6% of the current white respectively, and finally displays a gray scale graph of the test contrast, the display contrast of the current smart television is 1500. The smart television analyzes the brightness, the hue, the saturation and the deviation of the contrast from the preset standard value according to all received data, for example, the brightness B4 ' of the standard red is 100%, the hue H4 ' is 0% and the saturation S4 ' is 100%, then the red brightness Δ B4 is 4%, the hue Δ H4 is-2% and the color saturation Δ S4 is 6% to be increased by the smart television, and the values of the green, the blue and the white to be adjusted are obtained by calculating, respectively, further, the contrast of the smart television compared with the preset 2000 when the smart television leaves the factory is reduced by 500, and the contrast of the 2000 can be returned by calculating, for example, the contrast adjusting circuit voltage in the display panel is increased by 0.1V. When the intelligent television calculates to obtain an optimal adjustment value, prompting a user whether to apply the calculation result to the image setting through a window, if the user selects and confirms by using a remote controller, applying the calculation result to the television image setting by the intelligent television, and enabling the color of the image display to be closer to the real color than that before color correction; and if the user selects to cancel by using the remote controller, the intelligent television does not apply the calculation result to the television image setting. And after the color correction is finished, the user controls to quit the color correction APP and disconnect the Bluetooth connection between the mobile phone and the smart television.
Exemplary device
As shown in fig. 7, an embodiment of the present invention provides an apparatus for automatically adjusting and processing images of a smart television, where the apparatus includes: an acquisition module 710, an analysis and comparison module 720, an adjustment parameter confirmation module 730 and a parameter application module 740. Specifically, the obtaining module 710 is configured to control the smart television to obtain television luminance data and chrominance data detected by the mobile terminal; the analysis and comparison module 720 is configured to control the smart television to analyze the brightness, hue and saturation data of the television according to the television brightness data and the chrominance data, and compare the brightness, hue and saturation data with a preset standard value of a test picture to obtain corresponding deviations; the adjusting parameter confirming module 730 is configured to calculate, according to the deviations, values to be adjusted for adjusting items of television brightness, hue, saturation, and contrast; the parameter application module 740 is configured to apply the value to be adjusted according to the adjustment item to the television image setting.
Based on the above embodiments, the present invention further provides a terminal device, and a schematic block diagram thereof may be as shown in fig. 8. The terminal equipment comprises a processor, a memory, a network interface and a display screen which are connected through a system bus. Wherein the processor of the terminal device is configured to provide computing and control capabilities. The memory of the terminal equipment comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the terminal device is used for connecting and communicating with an external terminal through a network. The computer program is executed by the processor to realize an automatic image adjustment process of the intelligent television. The display screen of the terminal equipment can be a liquid crystal display screen or an electronic ink display screen.
It will be understood by those skilled in the art that the block diagram in fig. 8 is only a block diagram of a part of the structure related to the solution of the present invention, and does not constitute a limitation to the terminal device to which the solution of the present invention is applied, and a specific terminal device may include more or less components than those in the figure, or combine some components, or have different component arrangements.
In one embodiment, a terminal device is provided, where the terminal device includes a memory, a processor, and an intelligent television image automatic adjustment processing program stored on and executable on the processor, and the processing performs the following steps:
the smart television acquires television brightness data and chrominance data detected by the mobile terminal;
the intelligent television analyzes the brightness, hue and saturation data of the television according to the brightness data and the chroma data of the television, and compares the brightness, hue and saturation data with a preset standard numerical value of a test picture to obtain corresponding deviation;
calculating the numerical values of the adjustment items of the brightness, the hue, the saturation and the contrast of the television to be adjusted according to the deviation of the items;
and applying the value to the television image setting according to the adjustment item needing to be adjusted.
The method for acquiring the television brightness data and the television chromaticity data detected by the mobile terminal by the smart television comprises the following steps:
and setting a standard value of a test picture for image parameter adjustment reference of the intelligent television in advance on the intelligent television.
The method for acquiring the television brightness data and the television chromaticity data detected by the mobile terminal by the smart television comprises the following steps:
the intelligent television is connected with the mobile terminal through Bluetooth or Wifi;
the intelligent television enters a detection and verification state, displays the measured standard pictures one by one, and prompts a user to measure the brightness data and the chromaticity data of the television by adopting a mobile terminal through a window;
acquiring and measuring the display of the brightness and color of the television through an optical sensor of the mobile terminal to obtain the brightness data and the chromaticity data of the television;
the intelligent television acquires television brightness data and chrominance data detected by the mobile terminal.
The method for acquiring the television brightness data and the television chromaticity data detected by the mobile terminal by the smart television comprises the following steps:
the intelligent television is connected with the mobile terminal through Bluetooth or Wifi;
the smart television enters a checking mode, displays a standard picture, and prompts a user to adopt a mobile terminal to measure television brightness data and chrominance data through a window;
the method comprises the steps that an optical sensor of the mobile terminal is close to a television screen, the display of the brightness and color of the television is measured, and the brightness data and the chromaticity data of the television are obtained and transmitted to the smart television;
the smart television receives and acquires television brightness data and chrominance data detected by the mobile terminal and displays the next standard picture; the optical sensor of the mobile terminal detects the television screen again, the display of the brightness and the color of the television is measured, and the brightness data and the chromaticity data of the television are obtained and transmitted to the smart television;
and ending the measurement of all the standard pictures displayed by the intelligent television.
The intelligent television analyzes the brightness, hue and saturation data of the television according to the brightness data and the chromaticity data of the television, and compares the brightness, hue and saturation data with a preset standard numerical value of a test picture to obtain corresponding deviation steps, wherein the deviation steps comprise:
the intelligent television analyzes the brightness, hue and saturation data of the television according to the brightness data and the chromaticity data of the television;
comparing the brightness data with brightness data in a standard numerical value of a preset test picture to obtain corresponding brightness item deviation;
comparing the tone data with tone data in a preset standard numerical value of a test picture to obtain corresponding tone item deviation;
and comparing the saturation data with saturation data in a preset standard numerical value of the test picture to obtain corresponding saturation item deviation.
Wherein, the step of calculating the numerical values of the adjustment items of the brightness, the hue, the saturation and the contrast of the television which need to be adjusted according to the deviation of the items comprises the following steps:
and calculating the numerical values of the adjustment items of the brightness, the hue, the saturation and the contrast of the television, which need to be adjusted, according to the brightness item deviation, the hue item deviation and the saturation item deviation.
Wherein, the step of applying the value to the television image setting according to the adjustment item needs to be adjusted comprises:
prompting whether the television image setting is applied or not through a prompt window according to the numerical value required to be adjusted by the adjusting item;
when receiving a user operation instruction, setting the value of the adjustment item to be adjusted to the intelligent television, controlling to apply the value of the adjustment item to be adjusted to the television image setting so as to automatically adjust the image of the intelligent television.
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 hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, databases, or other media used in embodiments provided herein may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
In summary, the invention discloses a method and a device for automatically adjusting and processing an image of a smart television, the smart television and a medium, wherein the method comprises the following steps: the intelligent television acquires television brightness data and chrominance data detected by the mobile terminal. The intelligent television analyzes the brightness, hue and saturation data of the television according to the brightness data and the chroma data of the television, and compares the brightness, hue and saturation data with a preset standard numerical value of a test picture to obtain corresponding deviation; calculating the numerical values of the adjustment items of the brightness, the hue, the saturation and the contrast of the television to be adjusted according to the deviation of the items; and applying the value to the television image setting according to the adjustment item needing to be adjusted. The method aims to solve the problem that in the prior art, when a user adjusts the image parameter setting of the intelligent television, the parameters such as brightness, hue, saturation, contrast and the like can only be observed and set one by human eyes, and the process is complicated.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. An automatic image adjustment processing method for an intelligent television is characterized by comprising the following steps:
the smart television acquires television brightness data and chrominance data detected by the mobile terminal;
the intelligent television analyzes the brightness, hue and saturation data of the television according to the brightness data and the chroma data of the television, and compares the brightness, hue and saturation data with a preset standard numerical value of a test picture to obtain corresponding deviation;
calculating the numerical values of the adjustment items of the brightness, the hue, the saturation and the contrast of the television to be adjusted according to the deviation of the items;
and applying the value to the television image setting according to the adjustment item needing to be adjusted.
2. The method for automatically adjusting and processing the image of the smart television as claimed in claim 1, wherein the step of the smart television acquiring the luminance data and the chrominance data of the television detected by the mobile terminal comprises the following steps:
and setting a standard value of a test picture for image parameter adjustment reference of the intelligent television in advance on the intelligent television.
3. The method for automatically adjusting and processing the image of the smart television as claimed in claim 1, wherein the step of the smart television acquiring the luminance data and the chrominance data of the television detected by the mobile terminal comprises:
the intelligent television is connected with the mobile terminal through Bluetooth or Wifi;
the intelligent television enters a detection and verification state, displays the measured standard pictures one by one, and prompts a user to measure the brightness data and the chromaticity data of the television by adopting a mobile terminal through a window;
acquiring and measuring the display of the brightness and color of the television through an optical sensor of the mobile terminal to obtain the brightness data and the chromaticity data of the television;
the intelligent television acquires television brightness data and chrominance data detected by the mobile terminal.
4. The method for automatically adjusting and processing the image of the smart television as claimed in claim 1, wherein the step of the smart television acquiring the luminance data and the chrominance data of the television detected by the mobile terminal comprises:
the intelligent television is connected with the mobile terminal through Bluetooth or Wifi;
the smart television enters a checking mode, displays a standard picture, and prompts a user to adopt a mobile terminal to measure television brightness data and chrominance data through a window;
the method comprises the steps that an optical sensor of the mobile terminal is close to a television screen, the display of the brightness and color of the television is measured, and the brightness data and the chromaticity data of the television are obtained and transmitted to the smart television;
the smart television receives and acquires television brightness data and chrominance data detected by the mobile terminal and displays the next standard picture; the optical sensor of the mobile terminal detects the television screen again, the display of the brightness and the color of the television is measured, and the brightness data and the chromaticity data of the television are obtained and transmitted to the smart television;
and ending the measurement of all the standard pictures displayed by the intelligent television.
5. The method according to claim 1, wherein the step of the smart tv analyzing the brightness, hue and saturation data of the tv according to the brightness data and the chromaticity data of the tv, and comparing the brightness, hue and saturation data with the standard value of the preset test picture to obtain the corresponding deviations comprises:
the intelligent television analyzes the brightness, hue and saturation data of the television according to the brightness data and the chromaticity data of the television;
comparing the brightness data with brightness data in a standard numerical value of a preset test picture to obtain corresponding brightness item deviation;
comparing the tone data with tone data in a preset standard numerical value of a test picture to obtain corresponding tone item deviation;
and comparing the saturation data with saturation data in a preset standard numerical value of the test picture to obtain corresponding saturation item deviation.
6. The method for automatically adjusting and processing the image of the smart television as claimed in claim 5, wherein the step of calculating the values of the adjustment items of the brightness, the hue, the saturation and the contrast of the television to be adjusted according to the deviation items comprises:
and calculating the numerical values of the adjustment items of the brightness, the hue, the saturation and the contrast of the television, which need to be adjusted, according to the brightness item deviation, the hue item deviation and the saturation item deviation.
7. The method for automatically adjusting and processing the image of the smart television as claimed in claim 1, wherein the step of applying the value to the television image setting according to the adjustment item needs to be adjusted comprises:
prompting whether the television image setting is applied or not through a prompt window according to the numerical value required to be adjusted by the adjusting item;
when receiving a user operation instruction, setting the value of the adjustment item to be adjusted to the intelligent television, controlling to apply the value of the adjustment item to be adjusted to the television image setting so as to automatically adjust the image of the intelligent television.
8. An automatic image adjustment processing device for an intelligent television, which is characterized by comprising:
the acquisition module is used for controlling the smart television to acquire television brightness data and chrominance data detected by the mobile terminal;
the analysis and comparison module is used for controlling the intelligent television to analyze the brightness, hue and saturation data of the television according to the brightness data and the chromaticity data of the television and compare the brightness, hue and saturation data with a preset standard numerical value of a test picture to obtain corresponding deviation;
the adjusting parameter confirming module is used for calculating the numerical values of adjusting items of the brightness, the hue, the saturation and the contrast of the television to be adjusted according to the deviation;
and the parameter application module is used for applying the numerical values to the television image setting according to the numerical values required to be adjusted by the adjusting items.
9. An intelligent television, characterized in that the intelligent television comprises a memory, a processor and an intelligent television image automatic adjustment processing program stored in the memory and capable of running on the processor, and the processor executes the intelligent television image automatic adjustment processing program to realize the steps of the intelligent television image automatic adjustment processing method according to any one of claims 1 to 7.
10. A computer-readable storage medium, wherein the computer-readable storage medium stores thereon an intelligent tv image automatic adjustment processing program, and when the intelligent tv image automatic adjustment processing program is executed by a processor, the steps of the intelligent tv image automatic adjustment processing method according to any one of claims 1 to 7 are implemented.
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