Method and device for improving image quality of display screen, storage medium and display screen

Abstract

The invention discloses a method and device for improving image quality of a display screen, a storage medium and the display screen. The method comprises the following steps: determining input information of the display screen; when the input information is a video image, decoding the video image so as to convert a video frame into an image frame, and performing image quality adjustment on the decoded video image; and after the image quality adjustment of the video image is completed, coding the video image to generate a target video. According to the method, the image display effect of the display screen can be improved, high-definition image quality is provided, the display quality of the display screen is improved, and therefore good use experience is brought to a user.

Description

Technical Field

[0001] The present invention relates to the technical field of display screens, and in particular to a method for improving the image quality of a display screen, a computer-readable storage medium, a display screen, and a device for improving the image quality of a display screen. Background Art

[0002] Smart cockpit technology is an important part of modern cars. Compared with traditional cars, smart cockpits are an important development direction in the field of automotive technology, aiming to improve the comfort, safety and entertainment experience of drivers and passengers. In the development of smart cockpits, driving display systems and entertainment systems play a vital role. In-vehicle displays play a vital role in the field of automotive technology. It is one of the main interfaces for drivers and passengers to interact with vehicle information. With the continuous advancement of technology and the continuous growth of market demand, in-vehicle displays are undergoing rapid development and evolution. That is, the in-vehicle display screens of smart cockpits will continue to develop in the direction of high definition, large size, curved design, multi-screen interaction, variable size and intelligent interaction, creating a more intelligent, convenient and comfortable driving experience for drivers and passengers.

[0003] However, current display screens have poor image quality when displaying images, such as blurred images, inaccurate colors, and insufficient contrast, which affects the user's viewing experience of the image and brings a poor user experience. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems in the related art to a certain extent. To this end, the first purpose of the present invention is to propose a method for improving the image quality of a display screen, determine the input information of the display screen, and when the input information is a video image, decode the video image to convert the video frame into an image frame, so as to adjust the image quality of the decoded video image, and after the image quality adjustment of the video image is completed, encode the video image to generate a target video, thereby improving the image display effect of the display screen, providing high-definition image quality, and improving the display quality of the display screen, thereby bringing a better user experience.

[0005] A second object of the present invention is to provide a computer-readable storage medium.

[0006] A third objective of the present invention is to provide a display screen.

[0007] A fourth objective of the present invention is to provide a device for improving the image quality of a display screen.

[0008] To achieve the above-mentioned purpose, the first aspect of the embodiment of the present invention proposes a method for improving the image quality of a display screen, the method comprising: determining input information of the display screen; when the input information is a video image, decoding the video image to convert the video frame into an image frame, so as to adjust the image quality of the decoded video image; after completing the image quality adjustment of the video image, encoding the video image to generate a target video.

[0009] According to the method for improving the image quality of a display screen according to an embodiment of the present invention, the input information of the display screen is determined; when the input information is a video image, the video image is decoded to convert the video frame into an image frame, so as to adjust the image quality of the decoded video image; after the image quality adjustment of the video image is completed, the video image is encoded to generate a target video. Thus, the method can improve the image display effect of the display screen, provide high-definition image quality, improve the display quality of the display screen, and thus bring a better user experience to the user.

[0010] In addition, the method for improving the image quality of a display screen according to the above embodiment of the present invention may also have the following additional technical features:

[0011] According to an embodiment of the present invention, the method further includes: when the input information is a static image, adjusting the image quality of the static image.

[0012] According to an embodiment of the present invention, the adjusting the image quality includes: adjusting the image quality by adjusting at least one parameter of resolution, contrast, and color saturation.

[0013] According to one embodiment of the present invention, the adjusting of image quality by adjusting the resolution includes: when the resolution of the video image or the static image is lower than a preset resolution, processing the video image or the static image based on a super-resolution reconstruction algorithm.

[0014] According to an embodiment of the present invention, the method further comprises: performing noise removal and detail enhancement processing on the video image or the static image.

[0015] According to one embodiment of the present invention, after adjusting the image quality of the decoded video image, the method further includes: evaluating the processing result of each frame of the video image in real time; and adjusting and optimizing the parameters for image quality adjustment according to the evaluation result.

[0016] According to an embodiment of the present invention, after generating the target video, the method further includes: outputting the target video into a target format, and transmitting the data to a driving circuit of the display screen.

[0017] To achieve the above-mentioned purpose, a second aspect of the present invention provides a computer-readable storage medium having a program stored thereon, which implements the above-mentioned method for improving the image quality of a display screen when executed by a processor.

[0018] According to the computer-readable storage medium of an embodiment of the present invention, by implementing the above-mentioned method for improving the image quality of a display screen when executed, it is possible to improve the image display effect of the display screen, provide high-definition image quality, and improve the display quality of the display screen, thereby bringing a better user experience.

[0019] To achieve the above-mentioned purpose, a display screen proposed in an embodiment of the third aspect of the present invention includes a memory, a processor, and a program stored in the memory and executable on the processor. When the processor executes the program, the above-mentioned method for improving the image quality of the display screen is implemented.

[0020] The display screen according to the embodiment of the present invention can improve the image display effect of the display screen by executing the above-mentioned method for improving the image quality of the display screen, provide high-definition image quality, and improve the display quality of the display screen, thereby bringing a better user experience.

[0021] To achieve the above-mentioned purpose, the fourth aspect of the embodiment of the present invention proposes a device for improving the image quality of a display screen, the device comprising: a determination module, used to determine the input information of the display screen; an adjustment module, used to decode the video image when the input information is a video image, so as to convert the video frame into an image frame, so as to adjust the image quality of the decoded video image; a processing module, used to encode the video image after completing the image quality adjustment of the video image, so as to generate a target video.

[0022] According to the device for improving the image quality of a display screen according to an embodiment of the present invention, the determination module is used to determine the input information of the display screen, the adjustment module is used to decode the video image when the input information is a video image, so as to convert the video frame into an image frame, so as to adjust the image quality of the decoded video image, and the processing module is used to encode the video image after the image quality adjustment is completed to generate a target video. Thus, the device can improve the image display effect of the display screen, provide high-definition image quality, improve the display quality of the display screen, and thus bring a better user experience to the user.

[0023] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 is a flow chart of a method for improving the image quality of a display screen according to an embodiment of the present invention;

[0025] Figure 2 A flowchart of a method for improving the image quality of a display screen according to a specific example of the present invention;

[0026] Figure 3 is a block diagram of a display screen according to an embodiment of the present invention;

[0027] Figure 4 4 is a block diagram of a device for improving the image quality of a display screen according to an embodiment of the present invention. DETAILED DESCRIPTION

[0028] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and should not be construed as limiting the present invention.

[0029] The following describes a method for improving the image quality of a display screen, a computer-readable storage medium, a display screen, and an apparatus for improving the image quality of a display screen, which are provided in embodiments of the present invention, with reference to the accompanying drawings.

[0030] Figure 1 The present invention is a flow chart of a method for improving the image quality of a display screen according to an embodiment of the present invention.

[0031] like Figure 1 As shown, the method for improving the image quality of a display screen according to an embodiment of the present invention may include the following steps:

[0032] S1, determine the input information of the display screen.

[0033] S2, when the input information is a video image, decoding the video image to convert the video frame into an image frame, and adjusting the image quality of the decoded video image.

[0034] S3, after the image quality adjustment of the video image is completed, the video image is encoded to generate a target video.

[0035] Specifically, when the display screen of the vehicle is turned on, the input information of the display screen can be determined first. For example, the input information may include a video signal, an image file, or other multimedia content. It is necessary to determine the type of input information because different input types may require different processing methods. For example, a video stream may require decoding and frame processing, while a static image may only require simple display processing.

[0036] After determining the input information, the type of the input information can be determined. When the input information is a video image, the video image can be decoded, that is, decoding is the process of converting compressed video data into processable image frames. For example, a suitable video decoding library (such as FFmpeg) can be used to decode the input video and convert the video frame into an image format (such as RGB or YUV) so that the quality of the decoded video image can be adjusted later. For example, the edge contrast in the video image can be enhanced to improve the clarity of the image, or the brightness curve of the video image can be adjusted to improve the contrast and brightness of the video image. Artifacts generated during encoding or transmission can also be reduced by removing artifacts.

[0037] After the image quality adjustment step is completed, the next step is to encode the processed image to generate the target video format. Encoding is the process of converting the processed image frames back into compressed video data. For example, select the appropriate video encoding format (such as H.264, H.265, etc.) and parameters, encode the processed image frames, generate video files, and balance the video quality and file size during the encoding process. In this way, the image quality of the LCD screen can be effectively improved, providing users with a clearer and more vivid visual experience.

[0038] According to an embodiment of the present invention, the method for improving the image quality of a display screen further includes: when the input information is a static image, adjusting the image quality of the static image.

[0039] Specifically, after determining the input information, the type of the input information can be judged, and when the input information is a static image, the image quality of the static image can be adjusted. For example, the file format of the static image can be decoded and converted into pixel data that can be processed. This step usually involves reading an image file (such as JPEG, PNG, BMP, etc.) and decoding it into the original pixel value of the image. And the resolution of the image can be adjusted to match the resolution of the display screen, for example, by scaling the image, using different interpolation algorithms (such as nearest neighbor interpolation, bilinear interpolation, bicubic interpolation, etc.) to smooth the image and avoid the jagged effect during the scaling process. The image can also be converted from its original color space (such as sRGB) to a color space that is more suitable for processing (such as Lab or HSV) to make color adjustment easier. For example, the color balance of the image can also be adjusted, including brightness, contrast, saturation and hue, which can be achieved by manual adjustment or using an automatic color correction algorithm. As a result, the image quality of the static image can be significantly improved, so that it presents a higher quality visual effect on the display screen.

[0040] According to an embodiment of the present invention, performing image quality adjustment includes: performing image quality adjustment by adjusting at least one parameter of resolution, contrast, and color saturation.

[0041] Specifically, when adjusting the image quality, for example, when adjusting a video image or a static image, the visual effect of the image can be significantly improved by adjusting parameters such as resolution, contrast, color saturation, etc. For example, when adjusting the resolution, an interpolation algorithm (such as bilinear interpolation, bicubic interpolation, Lanczos interpolation) can be used to increase or decrease the number of pixels of the image to change its resolution.

[0042] When adjusting the contrast, the contrast enhancement algorithm can be used to improve the contrast of the image, making the light and dark levels of the image more distinct. For example, the grayscale histogram of the image can be adjusted through the histogram equalization algorithm to make the grayscale distribution of the image more uniform, thereby enhancing the contrast. The difference between the brightest and darkest pixels in the image can also be increased to enhance the local contrast. This can enhance the difference between light and dark in the image, making the image more vivid and lively.

[0043] When adjusting color saturation, you can use a color saturation enhancement algorithm to increase the color vividness of the image, and adjust the intensity of the color channel of the image to achieve color saturation enhancement to make the image more vivid. For example: convert an image from the RGB color space to other color spaces that are more suitable for processing colors, such as the HSV (Hue, Saturation, Value) color space. In the converted color space, directly adjust the saturation component, increase the saturation value to enhance the vividness of the color, and then convert the adjusted image back to the RGB color space for display. You can also use color correction tools or algorithms to adjust the intensity of specific color channels to achieve a more natural or stylized color effect. This can enhance or weaken the intensity of the colors in the image, making the colors look brighter or softer.

[0044] According to an embodiment of the present invention, adjusting the image quality by adjusting the resolution includes: when the resolution of the video image or the static image is lower than a preset resolution, processing the video image or the static image based on a super-resolution reconstruction algorithm. The preset resolution can be determined according to actual conditions.

[0045] Specifically, when adjusting the image quality by adjusting the resolution, the resolution of the video image or static image can be judged. When the resolution is lower than the preset resolution, it means that the current image may not be clear enough. The video image or static image can be processed based on the super-resolution reconstruction algorithm to improve the resolution of the image. For example, super-resolution algorithms based on deep learning can be used, such as SRCNN (Super-Resolution Convolutional Neural Network), ESPCN (Efficient Sub-Pixel Convolutional Neural Network), etc. These algorithms can generate clearer and more delicate high-resolution images by learning the mapping relationship between low-resolution images and high-resolution images, which can ensure the clarity and details of the image and adapt it to different display devices. Among them, SRCNN improves the resolution of the image by learning the mapping relationship between low-resolution and high-resolution images, and includes three convolution layers: a feature extraction layer, a nonlinear mapping layer, and a reconstruction layer. ESPCN performs convolution operations in the spatial domain and then uses the learned filters to reconstruct the image at the sub-pixel level, thereby achieving efficient super-resolution processing.

[0046] More specifically, the image data can be normalized to a specific range (such as 0 to 1 or -1 to 1) to improve the training efficiency and stability of the model. The low-resolution image is scaled to the target resolution as the input of the network. Low-resolution and high-resolution image pairs are collected for training the model, and a loss function (such as mean square error or structural similarity index) is defined to evaluate the prediction effect of the model, and the model parameters are optimized according to this loss. The features of the image are extracted using a convolutional layer, which contains important information such as the edges and textures of the image. The resolution of the feature map is increased to the target resolution through upsampling techniques (such as transposed convolution, bilinear interpolation, etc.). In ESPCN, a sub-pixel convolution layer is used to accurately reconstruct the sub-pixel level details of the image. After that, post-processing can be performed, that is, the reconstructed image is sharpened to enhance the edges and details. As a result, the resolution of the image can be effectively improved, the image quality can be improved, and the image can be clearer and more delicate when enlarged or displayed on a high-resolution device.

[0047] According to an embodiment of the present invention, the method for improving the image quality of a display screen further includes: performing noise removal and detail enhancement processing on the video image or the static image.

[0048] Specifically, when improving the image quality of display graphics, the video image or static image can also be denoised and detail enhanced, which can improve the clarity of the image, reduce visual interference, and enhance the visual appeal of the image. Noise can be caused by a variety of factors, such as sensor noise, compression noise, interference during transmission, etc. When removing noise, a noise removal algorithm can be used to remove noise from video images to improve the clarity and quality of the image. For example: using a denoising algorithm based on deep learning, DnCNN (Deep Convolutional Neural Network for Image Denoising), can more effectively remove various types of noise while retaining the detailed information of the image. It should be noted that when denoising, it is necessary to balance the relationship between noise removal and detail retention to avoid excessive smoothing leading to loss of image details.

[0049] In order to further improve the clarity and detail expression of the image, the image is processed using a detail enhancement algorithm, that is, detail enhancement aims to enhance the high-frequency information in the image, such as edges, textures, etc., to improve the clarity and visual impact of the image. When performing detail enhancement processing, a detail enhancement algorithm based on wavelet transform can be used. The algorithm decomposes the image into sub-bands of different frequencies, then enhances the high-frequency sub-bands, and finally reconstructs the processed sub-bands to obtain a detail-enhanced image. It should be noted that when enhancing the details, care should be taken not to introduce artifacts caused by artificial traces or excessive enhancement. The degree of detail enhancement can be adjusted according to the image content and application scenarios. In this way, the image quality of the display screen image can be effectively improved, making the image clearer and more delicate when displayed, providing a better visual experience.

[0050] According to one embodiment of the present invention, after adjusting the image quality of the decoded video image, the method for improving the image quality of the display screen also includes: real-time evaluation of the processing results of each frame of the video image; and adjusting and optimizing the parameters during the image quality adjustment according to the evaluation results.

[0051] Specifically, after adjusting the quality of the decoded video image, real-time evaluation of each frame of the image is performed. Adjusting and optimizing the quality adjustment parameters according to the evaluation results is a key step to ensure that the final image quality meets expectations. Real-time evaluation refers to the immediate quality evaluation of the results of each frame of the image after processing during the video processing. For example, objective evaluation indicators may include peak signal-to-noise ratio, and a high peak signal-to-noise ratio value usually means a lower error. And based on the evaluation results, the parameters in the image quality adjustment algorithm are adjusted and optimized to improve the image quality. For example, the network structure and parameters in the super-resolution reconstruction algorithm, the histogram equalization parameters in the contrast enhancement algorithm, and the filter parameters in the noise removal algorithm can be adjusted. For example, the filter strength in the denoising algorithm is adjusted according to the noise level to balance noise suppression and detail retention, and the parameters of deep learning models such as DnCNN, such as learning rate, convolution kernel size, etc., are adjusted to optimize the denoising performance. In this way, it can be ensured that each frame of the video image is finely processed and optimized, and finally achieves a high-quality display effect. This meticulous adjustment and optimization is a common practice in professional video processing and broadcasting, and can significantly improve the visual quality of the final video.

[0052] According to an embodiment of the present invention, after generating the target video, the method for improving the image quality of the display screen further includes: outputting the target video into a target format, and transmitting the data to a driving circuit of the display screen.

[0053] Specifically, after the target video is generated, the target video can be output to the target format, and the data can be transmitted to the driving circuit of the display screen. That is, the target format refers to the encapsulation format of the video file. For example, the encoded video stream can be encapsulated into a container format, such as MP4, AVI, MKV, etc. The container format determines the structure and compatibility of the video file. The driving circuit of the display screen receives the signal from the playback device, and can decode and process the signal to adapt the display parameters of the display screen, such as resolution, refresh rate, etc. The video data is encapsulated into the target format, and then needs to be transmitted to the display device in an appropriate manner. For example, according to the capabilities of the display device and the player, a suitable interface is selected, such as HDMI, DisplayPort, VGA, DVI, etc. The driving circuit inside the display screen receives these signals and converts them into signals required to control liquid crystal, OLED or other display technologies to render images on the screen. Finally, the display screen displays the video content according to the instructions of the driving circuit, and the user can see the processed video. In this way, it can be ensured that the video image is processed, encoded, encapsulated, transmitted and displayed. Control a series of links, and finally presents a high-quality image on the display screen.

[0054] Combine the following Figure 2 To describe the method of the present invention.

[0055] As a specific example, the method for improving the image quality of a display screen of the present invention may include the following steps:

[0056] S101, determine the input information of the display screen, and enter step S102 and step S109 respectively.

[0057] S102: When the input information is a video image, decode the video image.

[0058] S103, adjusting the image quality by adjusting at least one parameter among resolution, contrast, and color saturation.

[0059] S104, performing noise removal and detail enhancement processing on the video image or the static image.

[0060] S105, evaluating the processing result of each frame of the video image in real time.

[0061] S106, adjusting and optimizing the parameters for adjusting the image quality according to the evaluation result.

[0062] S107, after the image quality adjustment of the video image is completed, the video image is encoded to generate a target video.

[0063] S108, outputting the target video to the target format and transmitting the data to the driving circuit of the display screen

[0064] S109, when the input information is a static image, adjusting the image quality of at least one parameter of the static image including the overall resolution, contrast, and color saturation, and transmitting the data to a driving circuit of the display screen.

[0065] In summary, according to the method for improving the image quality of a display screen according to an embodiment of the present invention, the input information of the display screen is determined; when the input information is a video image, the video image is decoded to convert the video frame into an image frame, so as to adjust the image quality of the decoded video image; after the image quality adjustment of the video image is completed, the video image is encoded to generate a target video. Therefore, the method can improve the image display effect of the display screen, provide high-definition image quality, improve the display quality of the display screen, and thus bring a better user experience to the user.

[0066] Corresponding to the above embodiment, the present invention also proposes a computer-readable storage medium.

[0067] The computer-readable storage medium of the embodiment of the present invention stores a program, and when the program is executed by a processor, the method for improving the image quality of a display screen is implemented.

[0068] According to the computer-readable storage medium of an embodiment of the present invention, by executing the above-mentioned method for improving the image quality of a display screen, it is possible to improve the image display effect of the display screen, provide high-definition image quality, and improve the display quality of the display screen, thereby bringing a better user experience.

[0069] Corresponding to the above embodiment, the present invention further proposes a display screen.

[0070] like Figure 3 As shown, the display screen 200 of the embodiment of the present invention may include: a memory 210, a processor 220, and a program stored in the memory 210 and executable on the processor 220. When the processor 220 executes the program, the above-mentioned method for improving the image quality of the display screen is implemented.

[0071] The display screen according to the embodiment of the present invention can improve the image display effect of the display screen by executing the above-mentioned method for improving the image quality of the display screen, provide high-definition image quality, and improve the display quality of the display screen, thereby bringing a better user experience.

[0072] Corresponding to the above embodiment, the present invention also proposes a device for improving the image quality of a display screen.

[0073] like Figure 4 As shown, the device 100 for improving the image quality of a display screen according to an embodiment of the present invention includes: a determination module 110 , an adjustment module 120 and a processing module 130 .

[0074] The determination module 110 is used to determine the input information of the display screen. The adjustment module 120 is used to decode the video image when the input information is a video image, so as to convert the video frame into an image frame, so as to adjust the image quality of the decoded video image. The processing module 130 is used to encode the video image after the image quality adjustment is completed to generate a target video.

[0075] According to an embodiment of the present invention, the adjustment module 120 is further configured to: when the input information is a static image, adjust the image quality of the static image.

[0076] According to an embodiment of the present invention, the adjustment module 120 performs image quality adjustment, specifically, is used to adjust the image quality by adjusting at least one parameter of resolution, contrast, and color saturation.

[0077] According to an embodiment of the present invention, the adjustment module 120 adjusts the image quality by adjusting the resolution, and is specifically used to: when the resolution of the video image or the static image is lower than the preset resolution, process the video image or the static image based on the super-resolution reconstruction algorithm.

[0078] According to an embodiment of the present invention, the processing module 130 is further used to perform noise removal and detail enhancement processing on the video image or the static image.

[0079] According to one embodiment of the present invention, after adjusting the image quality of the decoded video image, the processing module 130 is further used to: evaluate the processing results of each frame of the video image in real time; and adjust and optimize the parameters for adjusting the image quality according to the evaluation results.

[0080] According to an embodiment of the present invention, after generating the target video, the processing module 130 is further used to: output the target video into a target format, and transmit the data to a driving circuit of the display screen.

[0081] It should be noted that for details not disclosed in the device for improving the image quality of a display screen in an embodiment of the present invention, please refer to the details disclosed in the method for improving the image quality of a display screen in an embodiment of the present invention, and the details will not be repeated here.

[0082] According to the device for improving the image quality of a display screen according to an embodiment of the present invention, the determination module is used to determine the input information of the display screen, the adjustment module is used to decode the video image when the input information is a video image, so as to convert the video frame into an image frame, so as to adjust the image quality of the decoded video image, and the processing module is used to encode the video image after the image quality adjustment is completed to generate a target video. Thus, the device can improve the image display effect of the display screen, provide high-definition image quality, improve the display quality of the display screen, and thus bring a better user experience to the user.

[0083] It should be noted that the logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in combination with these instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in combination with these instruction execution systems, devices or apparatuses. More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection portion with one or more wirings (electronic device), a portable computer disk box (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing in other suitable ways if necessary, and then stored in a computer memory.

[0084] It should be understood that the various parts of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above-mentioned embodiments, a plurality of steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, it can be implemented by any one of the following technologies known in the art or their combination: a discrete logic circuit having a logic gate circuit for implementing a logic function for a data signal, a dedicated integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0085] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0086] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description of the present invention, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0087] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0088] Although the embodiments of the present invention have been shown and described above, it is to be understood that the above embodiments are exemplary and are not to be construed as limitations of the present invention. A person skilled in the art may change, modify, replace and vary the above embodiments within the scope of the present invention.

Claims

1. A method for improving the image quality of a display screen, characterized in that: The method comprises: Determining input information of the display screen; When the input information is a video image, decoding the video image to convert the video frame into an image frame, and adjusting the image quality of the decoded video image; After the image quality adjustment of the video image is completed, the video image is encoded to generate a target video.

2. The method for improving the image quality of a display screen according to claim 1, characterized in that: The method further comprises: When the input information is a static image, the image quality of the static image is adjusted.

3. The method for improving the image quality of a display screen according to claim 2, characterized in that: The image quality adjustment includes: The image quality is adjusted by adjusting at least one parameter among resolution, contrast, and color saturation.

4. The method for improving the image quality of a display screen according to claim 3, characterized in that: The adjusting of image quality by adjusting the resolution includes: When the resolution of the video image or the static image is lower than a preset resolution, the video image or the static image is processed based on a super-resolution reconstruction algorithm.

5. The method for improving the image quality of a display screen according to claim 2, characterized in that: The method further comprises: The video image or the static image is subjected to noise removal and detail enhancement processing.

6. The method for improving the image quality of a display screen according to claim 1, characterized in that: After adjusting the image quality of the decoded video image, the method further includes: Performing real-time evaluation on the processing result of each frame of the video image; The parameters for adjusting the image quality are adjusted and optimized based on the evaluation results.

7. The method for improving the image quality of a display screen according to claim 1, characterized in that: After generating the target video, the method further includes: The target video is outputted into a target format, and the data is transmitted to a driving circuit of the display screen.

8. A computer-readable storage medium, characterized in that: A program is stored thereon, and when the program is executed by a processor, the method for improving the image quality of a display screen according to any one of claims 1-7 is implemented.

9. A display screen, characterized in that: include: A memory, a processor, and a program stored in the memory and executable on the processor, wherein when the processor executes the program, the method for improving the image quality of a display screen according to any one of claims 1 to 7 is implemented.

10. A device for improving the image quality of a display screen, characterized in that: The device comprises: A determination module, used to determine input information of the display screen; An adjustment module, used for, when the input information is a video image, decoding the video image to convert the video frame into an image frame, and adjusting the image quality of the decoded video image; The processing module is used to encode the video image to generate a target video after the image quality adjustment of the video image is completed.

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