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Texture Synthesis using TSVQ and Target Re-synthesis

This paper presents a simple texture synthesis method that is fast, efficient, and optimized. Given an input texture, the algorithm will synthesize a texture image of specified size by matching output image pixel neighborhoods with input pixel neighborhoods. The pixel-neighborhood matching will be aided by the use of a TreeStructured Vector Quantization (TSVQ) method which will allow the algorithm to avoid exhaustively searching the input image pixels. TSVQ method allows the algorithm to construct a binary tree that will serve as a codeword for the pixel types in the input image. Re-synthesis will be performed on output textures a number of times to measure its effectiveness as an optimizing option. The presented method combines ideas of synthesis by example with a fast texturing algorithm.