Image processing method and device, mobile terminal video processing method and device, equipment and medium

Abstract

The invention discloses an image processing method and device, a mobile terminal video processing method and device, equipment and a medium. The image processing method comprises the steps of determining an image attribute of each image block in a to-be-processed image; determining a filtering model corresponding to each image block according to the image attributes; and filtering the image blocksthrough the corresponding filtering models to obtain the filtered image of the to-be-processed image. According to the embodiment of the invention, the image attribute of each image block in the to-be-processed image is quickly calculated, so that the filtering processing speed of the image blocks is increased, the real-time filtering of the image is further realized, and the definition of the video is optimized by performing adaptive filtering on each image block through the corresponding filtering model.

Description

technical field [0001] Embodiments of the present invention relate to the field of image processing, and in particular, to an image processing and mobile terminal video processing method, device, device, and medium. Background technique [0002] Videos are generally encoded using lossy compression during storage and transmission. After video decoding, encoding noise is generated. Wherein, types of coding noise include blocking effect, ringing effect and sawtooth effect. Specifically, when a user watches a video, the mobile video application program pulls the video stream from the server, decodes and plays the video stream locally. Due to the limitations of the network environment, the video stream pulled by the mobile terminal is often a highly compressed video stream. When the user watches the video, there will generally be visible coding noise, which is especially obvious when the network condition is poor. . [0003] In the field of image / video denoising, a common met...

AI Technical Summary

Problems solved by technology

There are also some methods for removing coding noise, but they often only deal with specific types of coding noise such as block effects; in addition, in recent years, the industry has also explored coding noise removal algorithms based on neural networks. Although it has a certain effect on coding noise removal, However, the amount of calculation of the neural network is very large, and the real-time performance is poor.

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