WO2024055357A1 - Procédé et dispositif d'ajustement de définition de télévision - Google Patents

Procédé et dispositif d'ajustement de définition de télévision Download PDF

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Publication number
WO2024055357A1
WO2024055357A1 PCT/CN2022/121326 CN2022121326W WO2024055357A1 WO 2024055357 A1 WO2024055357 A1 WO 2024055357A1 CN 2022121326 W CN2022121326 W CN 2022121326W WO 2024055357 A1 WO2024055357 A1 WO 2024055357A1
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Prior art keywords
definition
image
tested
debugging
preset
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PCT/CN2022/121326
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English (en)
Chinese (zh)
Inventor
田其冲
谢岸煌
谢仁礼
吴有肇
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深圳Tcl新技术有限公司
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Publication of WO2024055357A1 publication Critical patent/WO2024055357A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/16—Analogue secrecy systems; Analogue subscription systems
    • H04N7/167—Systems rendering the television signal unintelligible and subsequently intelligible

Definitions

  • This application mainly relates to the field of display technology, and specifically to a method and device for debugging television definition.
  • 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.
  • 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.
  • the TV definition cannot be automatically debugged in the existing technology.
  • 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.
  • this application provides a method for debugging television definition.
  • the method for debugging television definition includes:
  • 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 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.
  • 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:
  • 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.
  • calculating the image clarity score of each test image according to the reference image and the plurality of test images includes:
  • 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.
  • one of the first preset weight coefficient and the second preset weight coefficient is zero and the other is not zero.
  • the first preset weight coefficient is greater than the second preset weight coefficient.
  • 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:
  • the image clarity index corresponding to the preset clarity debugging parameters is determined based on multiple image clarity scores.
  • the plurality of target original images include at least two types of images with different resolutions.
  • 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.
  • the full reference clarity score is the SSIM score; the no-reference clarity score is the NIQE score.
  • 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:
  • the operation information including the mouse click position and the name of the clarity debugging parameter corresponding to the mouse click position;
  • the multiple images to be tested include:
  • the debugging method also includes:
  • 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.
  • 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.
  • 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 computing unit is used for:
  • 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 computing unit is used for:
  • 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.
  • one of the first preset weight coefficient and the second preset weight coefficient is zero and the other is not zero.
  • the first preset weight coefficient is greater than the second preset weight coefficient.
  • the computing unit is used for:
  • the image clarity index corresponding to the preset clarity debugging parameters is determined based on multiple image clarity scores.
  • the plurality of target original images include at least two types of images with different resolutions.
  • the computing unit is used for:
  • the average or median of multiple image clarity scores is determined as the image clarity index corresponding to the preset clarity debugging parameters.
  • the full reference clarity score is the SSIM score; the no-reference clarity score is the NIQE score.
  • the first acquisition unit is used for:
  • the operation information including the mouse click position and the name of the clarity debugging parameter corresponding to the mouse click position;
  • the first acquisition unit is used for:
  • the first acquisition unit is used for:
  • 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.
  • this application provides an intelligent device, which includes:
  • processors one or more processors
  • 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.
  • 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.
  • 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. .
  • Figure 1 is a schematic scene diagram of a TV definition debugging system provided by an embodiment of the present application
  • FIG. 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.
  • 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.
  • 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.
  • the embodiment of the present application provides a method and device for debugging television definition, which will be described in detail below.
  • 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. .
  • the above-mentioned smart device 100 may be a general computer device or a special computer device.
  • 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.
  • PDA personal digital assistant
  • This embodiment does not The type of smart device 100 is defined.
  • 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.
  • 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.
  • the TV definition debugging system may also include a memory 200 for storing data.
  • 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.
  • 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.
  • FIG. 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:
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the reference TV is a reference TV that has been manually adjusted for definition.
  • the reference image displayed on the reference TV is intercepted through the FPGA chip.
  • a reference image is obtained by taking a screenshot on the screen of the reference TV using screenshot software.
  • 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.
  • 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. .
  • calculating the image clarity score of each test image based on the reference image and multiple test images may include:
  • the full reference definition score may be peak signal-to-noise ratio PSNR, structural similarity SSIM, mean square error MSE, etc.
  • PSNR peak signal-to-noise ratio
  • SSIM structural similarity
  • MSE mean square error MSE
  • the full reference clarity score is a structural similarity SSIM score.
  • SSIM Structuretural Similarity
  • 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.
  • 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:
  • the image will be divided into P ⁇ P blocks, and then the NSS features are calculated from the coefficients of each block.
  • ⁇ 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:
  • the characteristics of the image patch are calculated by the symmetric generalized Gaussian Distribution (AGGD) model with a mean value of 0.
  • AGGD symmetric generalized Gaussian Distribution
  • 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.
  • one of the first preset weight coefficient and the second preset weight coefficient is zero and the other is not zero.
  • 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.
  • the first preset weight coefficient is greater than the second preset weight coefficient.
  • 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:
  • 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.
  • 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.
  • 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.
  • 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,
  • 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.
  • 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.
  • the operation information includes the mouse click position and the name of the definition debugging parameter corresponding to the mouse click position.
  • the definition debugging tool 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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. .
  • 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:
  • 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.
  • the determining unit 404 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.
  • computing unit 403 is used for:
  • 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.
  • computing unit 403 is used for:
  • 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.
  • one of the first preset weight coefficient and the second preset weight coefficient is zero and the other is not zero.
  • the first preset weight coefficient is greater than the second preset weight coefficient.
  • computing unit 403 is used for:
  • the image clarity index corresponding to the preset clarity debugging parameters is determined based on multiple image clarity scores.
  • the multiple target original images include at least two types of images with different resolutions.
  • computing unit 403 is used for:
  • the average or median of multiple image clarity scores is determined as the image clarity index corresponding to the preset clarity debugging parameters.
  • the full reference clarity score is the SSIM score; the no-reference clarity score is the NIQE score.
  • the first acquisition unit 401 is used for:
  • the operation information includes the mouse click position and the name of the clarity debugging parameter corresponding to the mouse click position;
  • the first acquisition unit 401 is used for:
  • the first acquisition unit 401 is used for:
  • 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;
  • 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.
  • 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. .
  • 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:
  • processors one or more processors
  • 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.
  • FIG. 5 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.
  • a processor 501 of one or more processing cores a memory 502 of one or more computer-readable storage media
  • a power supply 503 a power supply 503
  • 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.
  • 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.
  • CPU Central Processing Unit
  • DSP Digital Signal Processor
  • ASIC Application Specific Integrated Circuit
  • FPGA off-the-shelf programmable gate array
  • FPGA field-Programmable Gate Array
  • the general-purpose processor can be a microprocessor or the processor can be any conventional processor, etc.
  • 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.
  • 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.
  • 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.
  • an input unit 504 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.
  • the smart device may also include a display unit, etc., which will not be described again here.
  • 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:
  • 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.
  • a computer program loaded by a processor may perform the following steps:
  • 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.
  • each of the above units or structures please refer to the previous method embodiments. Here No longer.

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Abstract

La présente invention concerne un procédé et un dispositif d'ajustement de définition de télévision. Le procédé consiste à : acquérir une pluralité d'images à tester, qui sont obtenues au moyen de l'affichage, sur une télévision à tester, d'une image d'origine cible dans une pluralité d'ensembles de différents paramètres d'ajustement de définition prédéfinis ; acquérir une image de référence, qui est obtenue au moyen de l'affichage de l'image d'origine cible sur une télévision de référence ; selon l'image de référence et la pluralité d'images à tester, calculer des indices de définition d'image correspondant aux paramètres d'ajustement de définition prédéfinis ; et déterminer un paramètre d'ajustement de définition cible pour la télévision à tester.
PCT/CN2022/121326 2022-09-15 2022-09-26 Procédé et dispositif d'ajustement de définition de télévision WO2024055357A1 (fr)

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CN202211124823.6A CN117135306A (zh) 2022-09-15 2022-09-15 电视清晰度的调试方法及装置
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Citations (6)

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