Texture compression and synthesis methods for gradually reducing resolution

Abstract

The invention provides texture compression and synthesis methods for gradually reducing the resolution, wherein the compression method comprises the following steps of: dividing a texture to be compressed into a plurality of equal data blocks; generating a compression block of a lower level resolution for each data block; extracting basic color data from the compression blocks with the low resolution and constructing basic color data of the compression blocks; and constructing modulation data for all pixels in the data blocks and constructing modulation data of the compression blocks. The texture synthesis method comprises the following steps of: reading a compression block and compression blocks adjacent to the compression block, carrying out bilinear interpolation on the compression blocks and constructing intermediate target texture image data; reading the modulation data of the compression blocks, modulating the intermediate target texture data and constructing uncompressed target data blocks; and merging all uncompressed target data blocks and constructing a target texture. The method has the advantages of compression ratio of 4bpp and good compression quality.

Description

technical field [0001] The invention relates to a texture compression and synthesis method in computer graphics, in particular to a texture compression and synthesis method which gradually reduces resolution. Background technique [0002] Computer Graphics (CG) is a science that uses mathematical algorithms to convert two-dimensional or three-dimensional graphics into a raster form for computer displays. Simply put, the main research content of computer graphics is to study how to represent graphics in the computer, and to use the computer to calculate, process and display the related principles and algorithms of graphics. [0003] A texture is an array of one-, two-, or multi-dimensional data items used in computing the color or appearance of a fragment resulting from the rasterization of a computer graphics picture. Textures can be image data, color or transparency data, roughness / smoothness data, albedo data, etc. Delivering realistic computer graphics generally require...

AI Technical Summary

Problems solved by technology

[0006] 2. The BD method of data block decomposition is limited by the color types in the color table, and cannot handle the problems of "sharp texture boundaries" or "multiple texture colors" well, and the quality of reconstruction is poor;

[0007] 3. Both DCT-based compression method and low-resolution low-pass filter image method require too complicated texture decompression process, which is difficult or expensive to implement

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