WO2024055357A1

WO2024055357A1 - Television definition adjustment method and device

Info

Publication number: WO2024055357A1
Application number: PCT/CN2022/121326
Authority: WO
Inventors: 田其冲; 谢岸煌; 谢仁礼; 吴有肇
Original assignee: 深圳Tcl新技术有限公司
Priority date: 2022-09-15
Filing date: 2022-09-26
Publication date: 2024-03-21
Also published as: CN117135306A

Abstract

Provided in the present application are a television definition adjustment method and device. The method comprises: acquiring a plurality of images to be tested, which are obtained by means of displaying, on a television to be tested, a target original image in a plurality of sets of different preset definition adjustment parameters; acquiring a reference image, which is obtained by means of displaying the target original image on a reference television; according to the reference image and the plurality of images to be tested, calculating image definition indexes corresponding to the preset definition adjustment parameters; and determining a target definition adjustment parameter for the television to be tested.

Description

TV definition debugging method and device

This application claims priority to the Chinese patent application submitted to the China Patent Office on September 15, 2022, with the application number 202211124823.6 and the invention name "Debugging Method and Device for Television Definition", the entire content of which is incorporated into this application by reference. middle.

Technical field

This application mainly relates to the field of display technology, and specifically to a method and device for debugging television definition.

Background technique

At present, the definition adjustment work of TV sets is basically completed by engineers by comparing the differences between the TV set to be adjusted and the target TV set. Engineers use manual testing to compare the display effects of several sets of images under several sets of parameters. Finally determining the best clarity parameters, this process relies on the adjustment experience of engineers, is time-consuming and labor-intensive, and the whole process takes a week or even longer.

That is to say, the TV definition cannot be automatically debugged in the existing technology.

technical problem

This application provides a method and device for debugging television definition, aiming to solve the problem in the prior art that television definition cannot be automatically debugged.

Technical solutions

In a first aspect, this application provides a method for debugging television definition. The method for debugging television definition includes:

Obtain the target original image and display multiple images to be tested with multiple sets of different preset definition debugging parameters on the TV to be tested;

Obtain the target original image and display the reference image on the reference TV;

Calculate the image definition index corresponding to each of the preset definition debugging parameters according to the reference image and the plurality of images to be tested;

The target definition debugging parameters of the TV to be tested are determined according to the image definition indicators corresponding to each of the preset definition debugging parameters.

Optionally, the target definition debugging parameters of the TV to be tested are determined according to the image definition indicators corresponding to each of the preset definition debugging parameters, including:

The preset definition debugging parameter with the largest image definition index among multiple different preset definition debugging parameters is determined as the target definition debugging parameter of the TV to be tested.

Optionally, calculating the image definition index corresponding to each of the preset definition debugging parameters according to the reference image and the plurality of images to be tested includes:

Calculate the image sharpness score of each image to be tested according to the reference image and the plurality of images to be tested;

The image definition index corresponding to each of the preset definition debugging parameters is determined according to the image definition score of each image to be tested.

Optionally, calculating the image clarity score of each test image according to the reference image and the plurality of test images includes:

Calculate the full reference sharpness score of the image to be tested based on the reference image and the image to be tested;

Calculate the reference-free sharpness score of the image to be tested based on the image to be tested;

According to the first preset weight coefficient of the full reference sharpness score and the second preset weight coefficient corresponding to the no-reference sharpness score, the full reference sharpness score and the no-reference sharpness score are weighted and summed to obtain the image corresponding to the image to be tested. Clarity Rating.

Optionally, one of the first preset weight coefficient and the second preset weight coefficient is zero and the other is not zero.

Optionally, the first preset weight coefficient is greater than the second preset weight coefficient.

Optionally, determining the image clarity index corresponding to each of the preset clarity debugging parameters according to the image clarity score of each image to be tested includes:

Obtain multiple image sharpness scores corresponding to multiple target original images displayed under preset sharpness debugging parameters and multiple images to be tested;

The image clarity index corresponding to the preset clarity debugging parameters is determined based on multiple image clarity scores.

Optionally, the plurality of target original images include at least two types of images with different resolutions.

Optionally, the image definition index corresponding to the preset definition debugging parameter is determined based on multiple image definition scores, including:

The average or median of multiple image clarity scores is determined as the image clarity index corresponding to the preset clarity debugging parameters.

Optionally, the full reference clarity score is the SSIM score; the no-reference clarity score is the NIQE score.

Optionally, the obtained target original image is displayed on the TV to be tested with multiple sets of different preset definition debugging parameters to obtain multiple images to be tested, including:

Record the user's operation information for a clarity debugging, the operation information including the mouse click position and the name of the clarity debugging parameter corresponding to the mouse click position;

Start the automation script to operate the debugging interface according to the preset definition debugging parameters according to the operation information, and debug the TV to be tested to the preset definition debugging parameters;

Input the target original image into the TV to be tested, and obtain the image to be tested corresponding to the preset definition debugging parameters;

Update the preset definition debugging parameters multiple times and operate the debugging interface according to the operation information to obtain multiple images to be tested corresponding to multiple sets of preset definition debugging parameters.

Optionally, before the acquisition target original image is displayed on the TV to be tested with multiple sets of different preset definition debugging parameters, the multiple images to be tested include:

Establish a connection with the TV to be tested through Socket.

Optionally, the debugging method also includes:

After obtaining multiple images to be tested corresponding to multiple sets of preset definition debugging parameters, sending a switching instruction to the TV to be tested to switch the target original image, so that the TV to be tested switches to the target original image;

When the instruction of the switched target original image returned by the TV to be tested is obtained, the switched target original image is obtained and multiple images to be tested are displayed on the TV to be tested with multiple sets of different preset definition debugging parameters.

In a second aspect, this application provides a TV definition debugging device. The TV definition debugging device includes:

The first acquisition unit is used to acquire multiple images to be tested obtained by displaying the target original image on the TV to be tested with multiple sets of different preset definition debugging parameters;

The second acquisition unit is used to acquire the reference image obtained by displaying the target original image on the reference TV;

A calculation unit configured to calculate an image definition index corresponding to each of the preset definition debugging parameters according to the reference image and the plurality of images to be tested;

A determining unit configured to determine the target definition debugging parameters of the TV to be tested based on the image definition indicators corresponding to each of the preset definition debugging parameters.

Optionally, the determining unit is used for:

Optionally, the computing unit is used for:

Optionally, the first acquisition unit is used for:

Establish a connection with the TV to be tested through Socket.

Optionally, the first acquisition unit is used for:

In a third aspect, this application provides an intelligent device, which includes:

one or more processors;

memory; and

One or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the processor to implement the debugging of television definition according to any one of the first aspects method.

In a fourth aspect, the present application provides a computer-readable storage medium that stores a plurality of instructions, and the instructions are suitable for loading by a processor to execute any one of the steps described in the first aspect. Steps in debugging TV definition.

beneficial effects

This application provides a method and device for debugging TV definition. The debugging method for TV definition includes: acquiring a target original image and displaying multiple images to be tested with multiple sets of different preset definition debugging parameters on the TV to be tested. ; Obtain the reference image obtained by displaying the target original image on the reference TV; calculate the image definition index corresponding to each preset definition debugging parameter based on the reference image and multiple images to be tested; and calculate the image definition corresponding to each preset definition debugging parameter. The definition index determines the target definition debugging parameters of the TV to be tested. This application displays the same image on the TV to be tested in multiple sets of different preset definition debugging parameters, and then compares the multiple to-be-tested images corresponding to the multiple sets of different preset definition debugging parameters with the reference image displayed on the reference TV, using the image The definition index selects the optimal target definition debugging parameters of the TV to be tested from multiple sets of different preset definition debugging parameters. The TV to be tested can be debugged until the definition of the TV to be tested is close to that of the reference TV, thus realizing the automation of definition debugging. .

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present application. For those skilled in the art, other drawings can also be obtained based on these drawings without exerting creative efforts.

Figure 1 is a schematic scene diagram of a TV definition debugging system provided by an embodiment of the present application;

Figure 2 is a schematic flow diagram of an embodiment of the TV definition debugging method provided in the embodiment of the present application;

Figure 3 is a process for obtaining multiple test images obtained by displaying a target original image with multiple sets of different preset definition debugging parameters on the TV to be tested in one embodiment of the TV definition debugging method provided in the embodiment of the present application. schematic diagram;

Figure 4 is a schematic structural diagram of an embodiment of the TV definition debugging device provided in the embodiment of the present application;

Figure 5 is a schematic structural diagram of an embodiment of the smart device provided in the embodiment of the present application.

Embodiments of the invention

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those skilled in the art without making creative efforts fall within the scope of protection of this application.

In the description of this application, it needs to be understood that the terms "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", " The directions or positional relationships indicated by "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc. are based on the directions shown in the accompanying drawings or positional relationship is only for the convenience of describing the present application and simplifying the description, and does not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present application. In addition, the terms “first” and “second” are used for descriptive purposes only and cannot be understood as indicating or implying relative importance or implicitly indicating the quantity of indicated technical features. Therefore, the features defined as “first” and “second” may explicitly or implicitly include one or more features. In the description of this application, "plurality" means two or more than two, unless otherwise explicitly and specifically limited.

In this application, the word "exemplary" is used to mean "serving as an example, illustration, or illustration." Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments. The following description is presented to enable any person skilled in the art to make and use the present application. In the following description, details are set forth for the purpose of explanation. It will be understood that one of ordinary skill in the art will recognize that the present application may be practiced without these specific details. In other instances, well-known structures and processes have not been described in detail to avoid obscuring the description of the application with unnecessary detail. Thus, this application is not intended to be limited to the embodiments shown but is to be accorded the widest scope consistent with the principles and features disclosed herein.

The embodiment of the present application provides a method and device for debugging television definition, which will be described in detail below.

Please refer to Figure 1. Figure 1 is a schematic scene diagram of a television definition debugging system provided by an embodiment of the present application. The television definition debugging system may include an intelligent device 100, and a television definition debugging device is integrated in the intelligent device 100. .

In this embodiment of the present application, the above-mentioned smart device 100 may be a general computer device or a special computer device. In specific implementation, the smart device 100 may be a desktop computer, a portable computer, a network server, a personal digital assistant (PDA), a mobile phone, a tablet computer, a wireless terminal device, a communication device, an embedded device, etc. This embodiment does not The type of smart device 100 is defined.

Those skilled in the art can understand that the application environment shown in Figure 1 is only one application scenario of the solution of the present application and does not constitute a limitation on the application scenarios of the solution of the present application. Other application environments may also include those shown in Figure 1 Show more or less smart devices, for example, only one smart device is shown in Figure 1. It can be understood that the TV definition debugging system can also include one or more other smart devices that can process data. Specifically, this There are no restrictions anywhere.

In addition, as shown in FIG. 1 , the TV definition debugging system may also include a memory 200 for storing data.

It should be noted that the scene diagram of the TV definition debugging system shown in Figure 1 is only an example. The TV definition debugging system and the scene described in the embodiment of the present application are to more clearly illustrate the technology of the embodiment of the present application. The solution does not constitute a limitation on the technical solution provided by the embodiment of the present application. Persons of ordinary skill in the art know that with the evolution of the TV definition debugging system and the emergence of new business scenarios, the technical solution provided by the embodiment of the present application is Similar technical issues also apply.

First, an embodiment of the present application provides a method for debugging television definition. The debugging method for television definition includes: acquiring multiple target original images and displaying them with multiple sets of different preset definition debugging parameters on the TV to be tested. The image to be tested; obtain the reference image obtained by displaying the target original image on the reference TV; calculate the image definition index corresponding to each preset definition debugging parameter based on the reference image and multiple images to be tested; debug the parameters according to each preset definition The corresponding image definition index determines the target definition debugging parameters of the TV to be tested.

As shown in Figure 2, Figure 2 is a schematic flow chart of an embodiment of a TV definition debugging method provided in an embodiment of the present application. The TV definition debugging method includes the following steps S201 to S204:

S201. Acquire the target original image and display multiple images to be tested with multiple sets of different preset definition debugging parameters on the TV to be tested.

In the embodiment of this application, the target original image may be an image with different resolutions such as 480p, 720p, 2k, 4k, etc.

The preset definition debugging parameters include multiple parameters used by staff to debug the TV. The same target original image is displayed on the TV to be tested with multiple sets of different preset definition debugging parameters, and multiple sets of images to be tested corresponding to multiple sets of different preset definition debugging parameters can be obtained.

In a specific embodiment, a plurality of images to be tested that have been debugged by various preset definition debugging parameters on the TV to be tested are intercepted through the FPGA chip. FPGA: The English full name is Field Programmable Gate Array, field programmable logic gate array. The FPGA board is a semi-customized circuit in the application-specific integrated circuit. It is a programmable logic array that can flexibly realize various image processing needs.

In another specific embodiment, a screenshot software is used to take screenshots on the screen of the TV to be tested, and multiple sets of images to be tested corresponding to different preset definition debugging parameters are obtained.

In yet another specific embodiment, a camera is set up at a preset position in front of the TV to be tested, and a plurality of images to be tested corresponding to multiple sets of different preset definition debugging parameters captured by the camera are captured on the TV screen to be tested.

Further, multiple images to be tested are obtained, displayed on the TV to be tested with multiple sets of different preset definition debugging parameters, and a connection is established with the TV to be tested through the Socket method, thereby enabling communication with the TV to be tested. Socket programming is also called socket programming. Applications can send or receive data through it. It is often used for data transmission between the server and the client.

S202. Obtain the reference image obtained by displaying the target original image on the reference TV.

Among them, the reference TV is a reference TV that has been manually adjusted for definition.

In a specific embodiment, the reference image displayed on the reference TV is intercepted through the FPGA chip.

In another specific embodiment, a reference image is obtained by taking a screenshot on the screen of the reference TV using screenshot software.

In yet another specific embodiment, a camera is set up at a preset position in front of the reference TV, and a reference image captured by the camera on the reference TV screen is obtained.

S203. Calculate the image definition index corresponding to each preset definition debugging parameter according to the reference image and multiple images to be tested.

In the embodiment of the present application, the image clarity score of each image to be tested is calculated based on the reference image and multiple images to be tested; the image clarity index corresponding to each preset clarity debugging parameter is determined based on the image clarity score of each image to be tested. .

In a specific embodiment, calculating the image clarity score of each test image based on the reference image and multiple test images may include:

(1) Calculate the full reference sharpness score of the image to be tested based on the reference image and the image to be tested.

In the embodiment of this application, the full reference definition score may be peak signal-to-noise ratio PSNR, structural similarity SSIM, mean square error MSE, etc. Full-reference evaluation can only be performed with the presence of distortion-free original images and is relatively less difficult. The core idea is to compare the amount of information or feature similarity between two images. Due to sufficient information, the research is relatively sufficient and various evaluation indicators are relatively mature.

Preferably, the full reference clarity score is a structural similarity SSIM score.

SSIM (Structural Similarity): SSIM is an index that measures the similarity of two images and is an evaluation algorithm in the full reference image quality evaluation. Given two images x and y, the structural similarity of the two images can be found as follows:

(2) Calculate the reference-free sharpness score of the image to be tested based on the image to be tested.

In the embodiment of the present application, the no-reference sharpness score may be the blind/no-reference image spatial quality evaluator BRISQUE score, the naturalness image quality evaluator NIQE score, the perception-based image quality evaluator PIQE score, etc.

Preferably, the full reference clarity score is the NIQE score.

NIQE (Naturalness Image Quality Evaluator, natural image quality evaluation): NIQE is a no-reference image quality evaluation algorithm. The design idea of the algorithm is based on constructing a series of features used to measure image quality and fitting these features into A multivariate Gaussian model. The NIQE indicator can be expressed as the distance between the MVG model (Multivariate Gaussian) of NSS (Natural Scene Statistics) features extracted from test images and the MVG model of quality-aware features extracted from natural images. . NIQE score calculation steps may include:

Extract each block in the image and obtain its characteristics in the spatial domain,

After the above formula is calculated, the image will be divided into P×P blocks, and then the NSS features are calculated from the coefficients of each block. Among them, σ in process 1) can be used to quantify the sharpness of the local image. The local sharpness of block b is calculated according to the following formula:

Feature image patches. The characteristics of the image patch are calculated by the symmetric generalized Gaussian Distribution (AGGD) model with a mean value of 0. The calculation formula is:

Create a multivariate Gaussian model MVG

Calculating the NIQE score The distance calculation formula between the MVG model of the NSS features extracted from the test image and the MVG model of the quality-aware features extracted from the natural image library is as follows:

(3) According to the first preset weight coefficient of the full reference sharpness score and the second preset weight coefficient corresponding to the no-reference sharpness score, the full reference sharpness score and the no-reference sharpness score are weighted and summed to obtain the image to be tested. Corresponding image clarity score.

In a specific embodiment, one of the first preset weight coefficient and the second preset weight coefficient is zero and the other is not zero. For example, the first preset weight coefficient is zero and the second preset weight coefficient is 1; or the second preset weight coefficient is zero and the first preset weight coefficient is 1.

In another specific embodiment, the first preset weight coefficient is greater than the second preset weight coefficient.

Further, in order to improve the calculation accuracy, the image definition index corresponding to each preset definition debugging parameter is determined based on the image definition score of each image to be tested, including:

(1) Obtain multiple image sharpness scores corresponding to multiple target original images displayed under preset sharpness debugging parameters and multiple images to be tested.

Specifically, N target original images are displayed under preset sharpness debugging parameters, and N image sharpness scores corresponding to N images to be tested are obtained. Multiple target original images contain at least two types of images with different resolutions.

(2) Determine the image definition index corresponding to the preset definition adjustment parameters based on multiple image definition scores.

Specifically, N images to be tested correspond to N image sharpness scores, where the image sharpness score is obtained by the weighted sum of the full reference sharpness score Score _SSIM and N no-reference sharpness scores Score _NIQE . The average or median of multiple image clarity scores is determined as the image clarity index corresponding to the preset clarity debugging parameters. Furthermore, after normalizing N full reference sharpness scores Score _SSIM and N no-reference sharpness scores Score _NIQE , the image sharpness scores are obtained by weighted summing, and then the average or median of multiple image sharpness scores are obtained. The number of digits is determined as the image definition index corresponding to the preset definition debugging parameters. For example, the average of multiple image clarity scores is determined as the image clarity index Score corresponding to the preset clarity debugging parameters, as shown in the following formula,

Using multiple original target images to evaluate the image clarity indicators corresponding to the preset clarity debugging parameters can improve test accuracy.

S204. Determine the target definition debugging parameters of the TV to be tested according to the image definition indicators corresponding to each preset definition debugging parameter.

In the embodiment of the present application, the preset definition debugging parameter with the largest image definition index among multiple different preset definition debugging parameters is determined as the target definition debugging parameter of the TV to be tested. In other embodiments, other preset definition debugging parameters may also be determined as the target definition debugging parameters of the TV to be tested.

The preset definition debugging parameter with the largest image definition index among multiple different preset definition debugging parameters is determined as the target definition debugging parameter of the TV to be tested, and the TV to be tested is adjusted to the target definition debugging parameter, that is, You can get the TV after definition adjustment and complete the definition adjustment.

Further, in order to realize the automated input of multiple sets of preset definition debugging parameters, refer to Figure 3 to obtain multiple images to be tested that display the target original image with multiple sets of different preset definition debugging parameters on the TV to be tested, including S301-S304:

S301. Record the user's operation information for a definition debugging. The operation information includes the mouse click position and the name of the definition debugging parameter corresponding to the mouse click position.

Specifically, when manually debugging the parameters of the TV to be tested through the mouse and keyboard, the definition debugging tool is fixed on the computer screen, and a TXT text is used to record the mouse click position and the definition debugging corresponding to the mouse click position during a manual definition debugging process. parameter name.

S302. Start the automated script to operate the debugging interface according to the preset definition debugging parameters according to the operation information, and debug the TV to be tested to the preset definition debugging parameters.

The automation script of this application is written in a computer programming language, and mouse and keyboard operations can be simulated by running the script. When the automation script is started, the automation script operates the debugging interface according to the preset definition debugging parameters according to the operation information, and executes the operation information to automatically input the preset definition debugging parameters to the TV to be tested, and debugs the TV to be tested to the preset definition debugging. parameter.

S303. Input the target original image into the TV to be tested, and obtain the image to be tested corresponding to the preset definition debugging parameters.

After the TV to be tested is adjusted to the preset definition debugging parameters, the target original image is input to the TV to be tested, and an image to be tested corresponding to the preset definition debugging parameters is obtained.

S304. Update the preset definition debugging parameters multiple times and operate the debugging interface according to the operation information to obtain multiple images to be tested corresponding to multiple sets of preset definition debugging parameters.

Use the automated script to operate the debugging interface according to the operation information, input multiple sets of different preset definition debugging parameters into the TV to be tested in stages, and obtain multiple to-be-tested images corresponding to the multiple sets of preset definition debugging parameters.

Further, after obtaining a plurality of images to be tested corresponding to multiple sets of preset definition debugging parameters, a switching instruction for switching the target original image is sent to the TV to be tested, so that the TV to be tested switches to the target original image; when the TV to be tested is obtained When the TV returns the instruction of the switched target original image, the switched target original image is obtained and multiple images to be tested are displayed on the TV to be tested with multiple sets of different preset definition debugging parameters. After a target original image has traversed all groups of preset definition debugging parameters, the automated script needs to establish a connection with the APK that displays the image on the TV through Socket. After the connection is successful, the automated script sends a signal to the APK on the TV to switch the image. The APK After receiving the signal, switch to the next image and send the instruction of the switched target original image to the automation script. After receiving the instruction, the automation script inputs and displays the parameters of the new target original image.

In order to better implement the TV definition debugging method in the embodiment of the present application, on the basis of the TV definition debugging method, the embodiment of the present application also provides a TV definition debugging device. The TV definition debugging device integrates For smart devices, as shown in Figure 4, the TV definition debugging device 400 includes:

In the second aspect, this application provides a TV definition debugging device. The TV definition debugging device includes:

The first acquisition unit 401 is used to acquire multiple images to be tested obtained by displaying the target original image with multiple sets of different preset definition debugging parameters on the TV to be tested;

The second acquisition unit 402 is used to acquire the reference image obtained by displaying the target original image on the reference TV;

The calculation unit 403 is used to calculate the image sharpness index corresponding to each preset sharpness debugging parameter according to the reference image and multiple images to be tested;

The determination unit 404 is used to determine the target definition debugging parameters of the TV to be tested based on the image definition indicators corresponding to each preset definition debugging parameter.

Optionally, the determining unit 404 is used for:

Optionally, computing unit 403 is used for:

Calculate the image sharpness score of each test image based on the reference image and multiple test images;

The image definition index corresponding to each preset definition debugging parameter is determined according to the image definition score of each image to be tested.

Optionally, computing unit 403 is used for:

Calculate the full reference sharpness score of the test image based on the reference image and the test image;

Optionally, computing unit 403 is used for:

Optionally, the multiple target original images include at least two types of images with different resolutions.

Optionally, computing unit 403 is used for:

Optionally, the first acquisition unit 401 is used for:

Record the user's operation information for a clarity debugging operation. The operation information includes the mouse click position and the name of the clarity debugging parameter corresponding to the mouse click position;

Start the automated script and operate the debugging interface according to the operation information according to the preset definition debugging parameters, and debug the TV to be tested to the preset definition debugging parameters;

Optionally, the first acquisition unit 401 is used for:

Establish a connection with the TV to be tested through Socket.

Optionally, the first acquisition unit 401 is used for:

After obtaining a plurality of images to be tested corresponding to a plurality of sets of preset definition debugging parameters, a switching instruction for switching the target original image is sent to the television to be tested, so that the television to be tested switches the target original image;

Embodiments of this application also provide an intelligent device that integrates any TV definition debugging device provided by embodiments of this application. The intelligent device includes:

one or more processors;

memory; and

One or more application programs, wherein one or more application programs are stored in the memory and configured to execute by the processor the debugging method for television definition in any of the above embodiments of the debugging method for television definition step.

As shown in Figure 5, it shows a schematic structural diagram of the smart device involved in the embodiment of the present application. Specifically:

The smart device may include components such as a processor 501 of one or more processing cores, a memory 502 of one or more computer-readable storage media, a power supply 503, and an input unit 504. Those skilled in the art can understand that the structure of the smart device shown in the figure does not limit the smart device, and may include more or fewer components than shown in the figure, or combine certain components, or arrange different components. in:

The processor 501 is the control center of the smart device, using various interfaces and lines to connect various parts of the entire smart device, by running or executing software programs and/or modules stored in the memory 502, and calling software programs stored in the memory 502. Data, perform various functions of smart devices and process data to conduct overall monitoring of smart devices. Optionally, the processor 501 may include one or more processing cores; the processor 501 may be a central processing unit (Central Processing Unit, CPU), or other general-purpose processor, digital signal processor (Digital Signal Processor, DSP). ), Application Specific Integrated Circuit (ASIC), off-the-shelf programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. The general-purpose processor can be a microprocessor or the processor can be any conventional processor, etc. Preferably, the processor 501 can integrate an application processor and a modem processor, where the application processor mainly processes the operating system, Physical interfaces and applications, etc. The modem processor mainly handles wireless communications. It can be understood that the above modem processor may not be integrated into the processor 501.

The memory 502 can be used to store software programs and modules. The processor 501 executes various functional applications and data processing by running the software programs and modules stored in the memory 502 . The memory 502 may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the storage data area may store data based on Data created by the use of smart devices, etc. In addition, memory 502 may include high-speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage device. Accordingly, the memory 502 may also include a memory controller to provide the processor 501 with access to the memory 502 .

The smart device also includes a power supply 503 that supplies power to various components. Preferably, the power supply 503 can be logically connected to the processor 501 through a power management system, so that functions such as charging, discharging, and power consumption management can be implemented through the power management system. The power supply 503 may also include one or more DC or AC power supplies, recharging systems, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components.

The smart device may also include an input unit 504 that may be used to receive input numeric or character information and generate keyboard, mouse, joystick, optical or trackball signal inputs related to physical settings and functional controls.

Although not shown, the smart device may also include a display unit, etc., which will not be described again here. Specifically, in this embodiment, the processor 501 in the smart device will load the executable files corresponding to the processes of one or more application programs into the memory 502 according to the following instructions, and the processor 501 will run the executable files stored in The application program in the memory 502 implements various functions, as follows:

Obtain the target original image and display multiple images to be tested with multiple sets of different preset definition debugging parameters on the TV to be tested; acquire the reference image obtained by displaying the target original image on the reference TV; based on the reference image and multiple images to be tested The image calculates the image definition index corresponding to each preset definition debugging parameter; determines the target definition debugging parameters of the TV to be tested based on the image definition index corresponding to each preset definition debugging parameter.

Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructions, or by controlling relevant hardware through instructions. The instructions can be stored in a computer-readable storage medium, and loaded and executed by the processor.

To this end, embodiments of the present application provide a computer-readable storage medium, which may include: read-only memory (ROM, Read Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk, etc. . A computer program is stored thereon, and the computer program is loaded by the processor to execute the steps in any of the TV definition debugging methods provided by the embodiments of the present application. For example, a computer program loaded by a processor may perform the following steps:

Obtain the target original image and display multiple images to be tested with multiple sets of different preset definition debugging parameters on the TV to be tested; obtain the reference image obtained by displaying the target original image on the reference TV; based on the reference image and multiple images to be tested The image calculates the image definition index corresponding to each preset definition debugging parameter; determines the target definition debugging parameters of the TV to be tested based on the image definition index corresponding to each preset definition debugging parameter.

In the above embodiments, each embodiment is described with its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the above detailed descriptions of other embodiments and will not be described again here.

During specific implementation, each of the above units or structures can be implemented as an independent entity, or can be combined in any way and implemented as the same or several entities. For the specific implementation of each of the above units or structures, please refer to the previous method embodiments. Here No longer.

For the specific implementation of each of the above operations, please refer to the previous embodiments and will not be described again here.

The above is a detailed introduction to a TV definition debugging method and device provided by the embodiments of the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only for assistance. Understand the methods and core ideas of this application; at the same time, for those skilled in the art, there will be changes in the specific implementation methods and application scope based on the ideas of this application. In summary, the contents of this specification should not be understood as Limitations on this Application.

Claims

A method for debugging television definition, wherein the debugging method includes:

Obtain the target original image and display multiple images to be tested with multiple sets of different preset definition debugging parameters on the TV to be tested;

Obtain the target original image and display the reference image on the reference TV;

Calculate the image definition index corresponding to each of the preset definition debugging parameters according to the reference image and the plurality of images to be tested;

The target definition debugging parameters of the TV to be tested are determined according to the image definition indicators corresponding to each of the preset definition debugging parameters.
The TV definition debugging method according to claim 1, wherein determining the target definition debugging parameters of the TV to be tested based on the image definition indicators corresponding to each of the preset definition debugging parameters includes:

The preset definition debugging parameter with the largest image definition index among multiple different preset definition debugging parameters is determined as the target definition debugging parameter of the TV to be tested.
The TV definition debugging method according to claim 1, wherein calculating the image definition index corresponding to each of the preset definition debugging parameters according to the reference image and the plurality of images to be tested includes:

Calculate the image sharpness score of each image to be tested according to the reference image and the plurality of images to be tested;

The image definition index corresponding to each of the preset definition debugging parameters is determined according to the image definition score of each image to be tested.
The TV definition debugging method according to claim 3, wherein said calculating the image definition score of each test image according to the reference image and the plurality of test images includes:

Calculate the full reference sharpness score of the image to be tested based on the reference image and the image to be tested;

Calculate the reference-free sharpness score of the image to be tested based on the image to be tested;

According to the first preset weight coefficient of the full reference sharpness score and the second preset weight coefficient corresponding to the no-reference sharpness score, the full reference sharpness score and the no-reference sharpness score are weighted and summed to obtain the image corresponding to the image to be tested. Clarity Rating.
The TV definition debugging method according to claim 4, wherein one of the first preset weight coefficient and the second preset weight coefficient is zero and the other is not zero.
The TV definition debugging method according to claim 4, wherein the first preset weight coefficient is greater than the second preset weight coefficient.
The TV definition debugging method according to claim 3, wherein determining the image definition index corresponding to each of the preset definition debugging parameters according to the image definition score of each image to be tested includes:

Obtain multiple image sharpness scores corresponding to multiple target original images displayed under preset sharpness debugging parameters and multiple images to be tested;

The image clarity index corresponding to the preset clarity debugging parameters is determined based on multiple image clarity scores.
The TV definition debugging method according to claim 7, wherein the plurality of target original images include at least two types of images with different resolutions.
The TV definition debugging method according to claim 7, wherein the determining the image definition index corresponding to the preset definition debugging parameter according to multiple image definition scores includes:

The average or median of multiple image clarity scores is determined as the image clarity index corresponding to the preset clarity debugging parameters.
The TV definition debugging method according to claim 4, wherein the full reference definition score is an SSIM score; and the no-reference definition score is a NIQE score.
The TV definition debugging method according to claim 1, wherein the acquisition target original image displays a plurality of images to be tested with multiple sets of different preset definition debugging parameters on the TV to be tested, including:

Record the user's operation information for a sharpness debugging, where the operation information includes the mouse click position and the name of the sharpness debugging parameter corresponding to the mouse click position;

Start the automation script to operate the debugging interface according to the preset definition debugging parameters according to the operation information, and debug the TV to be tested to the preset definition debugging parameters;

Input the target original image into the TV to be tested, and obtain the image to be tested corresponding to the preset definition debugging parameters;

Update the preset definition debugging parameters multiple times and operate the debugging interface according to the operation information to obtain multiple images to be tested corresponding to multiple sets of preset definition debugging parameters.
The TV definition debugging method according to claim 1, wherein the acquisition target original image displays the multiple images to be tested with multiple sets of different preset definition debugging parameters on the TV to be tested, including:

Establish a connection with the TV to be tested through Socket.
The TV definition debugging method according to claim 1, wherein the debugging method further includes:

After obtaining multiple images to be tested corresponding to multiple sets of preset definition debugging parameters, sending a switching instruction to the TV to be tested to switch the target original image, so that the TV to be tested switches to the target original image;

When the instruction of switching the target original image returned by the tested television is obtained, the switched target original image is obtained and displayed on the tested television with multiple groups of different preset definition debugging parameters to obtain multiple images to be tested.
A TV definition debugging device, wherein the TV definition debugging device includes:

The first acquisition unit is used to acquire multiple images to be tested obtained by displaying the target original image on the TV to be tested with multiple sets of different preset definition debugging parameters;

The second acquisition unit is used to acquire the reference image obtained by displaying the target original image on the reference TV;

A calculation unit configured to calculate an image definition index corresponding to each of the preset definition debugging parameters according to the reference image and the plurality of images to be tested;

A determining unit configured to determine the target definition debugging parameters of the TV to be tested based on the image definition indicators corresponding to each of the preset definition debugging parameters.
The TV definition debugging device according to claim 14, wherein the determining unit is used for:

The preset definition debugging parameter with the largest image definition index among multiple different preset definition debugging parameters is determined as the target definition debugging parameter of the TV to be tested.
The TV definition debugging device according to claim 14, wherein the computing unit is used for:

Calculate the image clarity score of each image to be tested according to the reference image and the plurality of images to be tested;

The image definition index corresponding to each of the preset definition debugging parameters is determined according to the image definition score of each image to be tested.
The TV definition debugging device according to claim 16, wherein the computing unit is used for:

Calculate the full reference sharpness score of the image to be tested based on the reference image and the image to be tested;

Calculate the reference-free sharpness score of the image to be tested based on the image to be tested;

According to the first preset weight coefficient of the full reference sharpness score and the second preset weight coefficient corresponding to the no-reference sharpness score, the full reference sharpness score and the no-reference sharpness score are weighted and summed to obtain the image corresponding to the image to be tested. Clarity Rating.
The TV definition debugging device according to claim 16, wherein one of the first preset weight coefficient and the second preset weight coefficient is zero and the other is not zero.
An intelligent device, wherein the intelligent device includes:

one or more processors;

memory; and

One or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the processor to implement the TV definition debugging method of claim 1 .
A computer-readable storage medium, wherein a computer program is stored thereon, and the computer program is loaded by a processor to execute the steps of the TV definition debugging method described in claim 1.