A Dual Mode Selective Prediction Method for Complex Textures in Bandwidth Compression

Abstract

The invention relates to a dual-mode selection prediction method for a complex texture in bandwidth compression, which comprises the steps of: partitioning a to-be-encoded video image into a pluralityof macro blocks, and determining a to-be-encoded pixel component; by adopting an adaptive template prediction method, selecting a first reference pixel of each currently encoded pixel in a currentlyencoded macro block in an adaptive template, and calculating to obtain a group of first predicted residuals; by adopting an adaptive rectangular window prediction method, selecting a second referencepixel of each currently encoded pixel in the currently encoded macro block in a rectangular prediction search window, and calculating to obtain one group of second predicted residuals; calculating a first subjective difference according to one group of first predicted residuals, and calculating a second subjective difference according to one group of second predicted residuals; and comparing the first subjective difference with the second subjective difference, and determining an optimal prediction method of the currently encoded macro block to obtain one group of optimal predicted residuals.The dual-mode selection prediction method uses the macro blocks as prediction units, and according to different texture characteristics in different regions of the image, the optimal prediction methods are adaptively selected, so that the dual-mode selection prediction method is better in prediction effect.

Description

technical field [0001] The invention relates to the technical field of compression, in particular to a dual-mode selection prediction method for complex textures in bandwidth compression. Background technique [0002] With the continuous improvement of the public's demand for video quality, the image resolution of the video has also increased exponentially, so that the data volume of the video image is very large, requiring more storage space and transmission bandwidth. Under such circumstances, it is particularly necessary to use the bandwidth compression technology in the chip to improve the storage space and transmission bandwidth of the image. [0003] The goal of the bandwidth compression technology is to increase the compression factor as much as possible with a smaller logic area cost, and reduce the occupation of double-rate synchronous dynamic random access memory (Double Data Rate, DDR for short). As an important module of bandwidth compression, the prediction mod...

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Problems solved by technology

[0004] However, when the texture of the image to be compressed is complex and changeable, when the complex texture area of ​​the image to be compressed is predicted according to a fixed prediction mode, the prediction mode used may only be applicable to some areas, but not to other areas. It is not applicable, resulting in the prediction codes in these areas cannot be accurately referenced, resulting in the theoretical limit entropy not being reduced to the maximum extent, and affecting the prediction quality of the prediction module

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