Method for Eliminating Blocking Effect of Video Coding Image

Abstract

The embodiment of the invention provides a method for eliminating the block effect of video coding images. According to the method, summation normalization operation is performed on a matrix from rows and columns based on the linear transformation property of the matrix, the maximum singular value and the corresponding left and right singular vectors of a current matrix module are worked out through iteration, and the purpose of quick singular value calculation is achieved. Through the method, singular value decomposition filtering operation can be carried out under the condition that the matrix is not decomposed completely, the algorithm complexity is reduced effectively during low-rank matrix processing, and the accuracy of the singular value can be adjusted according to the actual need in the algorithm. The method can be effectively applied to matrix singular value decomposition operation in the process of video coding and filtering requiring high real-time performance to effectively eliminate the difference between rows and between columns in a video coding image matrix, improve the visual effect of video coding images and improve the coding performance.

Description

technical field [0001] The invention relates to the field of digital signal processing, in particular to a method for eliminating video coding image block effect. Background technique [0002] In the loop filtering process of the video coding framework, the difference between the row and the row of the video coding image matrix, and the difference between the column and the column is often relatively large, resulting in block effects, and the singular value decomposition algorithm needs to be used to eliminate the blocks of the video coding image matrix effect. [0003] As an important matrix decomposition algorithm, singular value decomposition algorithm has a wide range of applications in image processing, computer vision, recommendation system, text mining, information retrieval and other fields. A singular value decomposition algorithm for eliminating the block effect of a video coding image matrix in the prior art mainly includes: diagonalizing and iteratively solving ...

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Problems solved by technology

[0004] The disadvantage of a singular value decomposition algorithm for eliminating the block effect of the video coding image matrix in the above-mentioned prior art is: this method needs to completely decompose the video coding image matrix, the calculation amount is relatively large, and the time consumption is relatively long

However, in the process of eliminating the block effect of the video coding image matrix, usually not all the singular values ​​are used in the calculation. not available in matrix

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