Deblocking effect filtering method and device in video encoding and decoding, equipment and medium

Abstract

The invention provides a deblocking effect filtering method and device in video encoding and decoding, equipment and a storage medium, and relates to the technical field of video encoding and decoding. The method comprises the following steps: acquiring texture complexity of a current frame; determining an intensity coefficient of deblocking filtering according to the texture complexity, wherein the intensity coefficient is used for distinguishing whether a boundary in a reconstruction frame corresponding to the current frame is a blocking effect boundary or not; and performing deblocking filtering processing on the reconstructed frame based on the intensity coefficient to obtain a filtered reconstructed frame. According to the embodiment of the invention, the method achieves the adaptiveadjustment of the intensity coefficient of deblocking filtering based on the texture complexity of an image frame, carries out the deblocking filtering of the reconstructed frame by employing the intensity coefficient matched with the texture complexity, facilitates the improvement of the quality of a filtered image, and reduces the code rate waste.

Description

technical field [0001] The embodiments of the present application relate to the technical field of video coding and decoding, and in particular to a deblocking filtering method, device, device and medium in video coding and decoding. Background technique [0002] Video coding usually uses a hybrid coding framework, such as H.264 / AVC (Advanced Video Coding, Advanced Video Coding), H.265 / HEVC (High Efficiency Video Coding, High Efficiency Video Coding), AVS (AudioVideo coding Standard, audio and video coding standard) and other video coding standards. The hybrid coding framework mainly includes links such as prediction, transform, quantization, entropy coding, and loop filtering. [0003] Block-based transform coding is widely used in image compression coding. As the bit rate decreases, the quantization becomes rough, and there will be discontinuity at the boundary of the block, forming obvious defects in the reconstructed image. The discontinuity between them is called bloc...

AI Technical Summary

Problems solved by technology

The causes of blockiness mainly include the following two aspects: first, transformation and quantization are based on blocks, and the quantization process causes distortion, and the quantization coefficient error is different in different blocks, so the boundary between two blocks is will be discontinuous

Second, motion estimation and motion compensation are also a cause of block effects. Motion compensation cannot be completely matched, because the motion compensation blocks of different blocks may come from different frames or from different areas of the same frame. In this case, The boundaries of prediction units are also discontinuous

However, the filtering parameters currently used in the deblocking filter are pre-set, resulting in poor filtering effect

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