Image quality enhancement method and device, terminal and readable storage medium

Abstract

The invention provides an image quality enhancement method and device, a terminal and a readable storage medium, which are applied to the terminal, and the method comprises the following steps: obtaining an equipment type, a live broadcast room type, a live broadcast code rate and enhancement model configuration information of the terminal; determining a target enhancement model according to the equipment type, the live broadcast room type, the live broadcast code rate and the enhancement model configuration information; and when it is determined that there is an image quality enhancement demand, enhancing a to-be-enhanced image according to the target enhancement model. It can be seen that the whole process of the image quality enhancement method provided by the embodiment of the invention is completed at the terminal, the resource pressure of the server side is effectively relieved, and meanwhile, the method provided by the invention can determine the adaptive enhancement model according to the type of the terminal and the type of the live broadcast room, distinguish the enhancement model of platform hardware, and improve the user experience. The compatibility of the enhancement scheme is higher, and the requirement of people for high image quality is met.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to an image quality enhancement method, device, terminal and readable storage medium. Background technique [0002] With the development of the Internet era, graphics card capabilities are gradually enhanced, and users are increasingly demanding high-quality, high-fluency live broadcast experience on the terminal side. [0003] In the traditional live broadcast process, image quality and bit rate are negatively correlated. The higher the image quality, the higher the bit rate required, the greater the transmission pressure, and the bottleneck of background transcoding enhancement becomes more and more obvious. The existing image quality enhancements are all On the server side, however, the model used for image quality enhancement on the server side has undergone several generations of replacements, resulting in the inability to improve the image quality enhancement ...

AI Technical Summary

Problems solved by technology

[0003] In the traditional live broadcast process, image quality and bit rate are negatively correlated. The higher the image quality, the higher the bit rate required, the greater the transmission pressure, and the bottleneck of background transcoding enhancement becomes more and more obvious. The existing image quality enhancements are all On the server side, however, the model used for image quality enhancement on the server side has undergone several generations of replacements, resulting in the inability to improve the image quality enhancement effect. In addition, the existing GPU image sources on the server side are gradually consumed, making the image quality The enhancement effect encounters a bottleneck, and better results cannot be obtained, which cannot meet the needs of users

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