Inter-frame Prediction Method for Video Coding Based on Multiple Linear Regression

Abstract

The video coding inter-frame prediction method based on multiple linear regression of the present invention includes: A. initializing the image at the time t of the information source, using the image at the time t-1 as a reference image, and moving the image at the time t at the time t-1 Estimated to obtain the absolute error value; B. Expand the size of the reference pixel block at time t-1, wherein the expanded pixel block information is the left outer pixel and the upper outer pixel of the reference pixel block respectively, to obtain a multiple linear regression model; C. At t Reconstruct the image at time t before the time to obtain the pixel value of the corresponding position in the reconstructed image at time t; D. Determine whether to update the reference image: if the absolute error between the reconstructed pixel block and the corresponding source pixel block If the value is smaller than the absolute error value in step A, the pixels of the reference image are updated; otherwise, the pixels of the reference image are not updated. The present invention effectively enhances the time-domain correlation between the reference image and the current coded image, thereby obtaining better residual information and significantly improving the coding efficiency.

Description

technical field [0001] The invention relates to a video coding method, in particular to a video coding inter-frame prediction method based on multiple linear regression. Background technique [0002] Inter-frame prediction refers to using the correlation of the video time domain to predict the pixels of the current image using the pixels of the adjacent encoded image, so as to effectively remove the redundancy of the video time domain. At present, the inter-frame prediction part of the main video coding standards adopts the block-based motion compensation technology. The main principle is to find the best matching block in the previously coded image for each pixel block of the current image. This process is called motion compensation. Estimation (Motion Estimation, ME), where the image used for prediction is called a reference image (Reference Frame), and the difference between the current pixel block and the reference block is called a prediction residual (Prediction Residu...

AI Technical Summary

Problems solved by technology

[0003] In the encoding process, the texture complexity of the image content and the intensity of changes between images will affect the quality of the encoded image, and the method of using the block as the coding unit will lead to uneven pixels at the boundary of the image block. These factors will Affecting its own reference will make the predicted residual information unfavorable for coding

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