Texture image compression method based on image similarities

Abstract

The invention discloses a texture image compression method based on image similarities. The texture image compression method based on the image similarities comprises the steps that a texture image to be compressed is transformed into a plurality of tiles in a YCrCb color space, a code book and a code table of the texture image to be compressed are generated according to the similarities among the different tiles, then codewords in the code book are coded by adopting coding similar to Huffman coding, the code table is transformed into an index file according to coding results, and then the compression of the texture image is completed. According to the texture image compression method based on the image similarities, the effect of reconstruction image is not influenced, and the compression ratio of the texture image is improved to a certain extend. Furthermore, codewords in the code book are confirmed through two levels of judgment, incremental codeword generation is used in the first level, namely, comparison is carried out on the similarities of the current tile image and the codewords in the code book, comparison is carried out on the similarities of the current tile image and the adjacent tile images, and both the integral similarities of the texture tiles and the local similarities of texture are taken into consideration through the two-level comparison.

Description

technical field [0001] The invention relates to the field of computer images, in particular to a texture image compression method based on similarity. Background technique [0002] The purpose of image compression is to reduce redundant information in image data so as to achieve efficient data storage and data transmission. At present, image compression is mainly divided into lossy compression and lossless compression. The more popular coding standards are JPEG, MPEG and so on. [0003] In large-scale scene rendering, texture images need to be loaded into video memory. This process cannot be completed quickly at one time, so we need to study the compression and decompression algorithms of texture images to reduce the storage space of texture images, reduce transmission delay, and reduce texture. loss of data. The compression of the texture image is based on the traditional image compression method. Because the texture image itself shows a high degree of similarity, there i...

AI Technical Summary

Problems solved by technology

Among them, the data communication between the CPU and the GPU will reduce the speed of the algorithm, and this method also has certain disadvantages

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