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30 May 2000 Subregion search algorithm for efficient VQ encoding of images
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Proceedings Volume 4067, Visual Communications and Image Processing 2000; (2000) https://doi.org/10.1117/12.386682
Event: Visual Communications and Image Processing 2000, 2000, Perth, Australia
Abstract
In this paper, we new sub-region search algorithm is proposed for fast encoding of image vector quantization. In the proposed scheme, we will only search a portion of the codebook to locate the best match vector of each input vector according to the state of its neighboring blocks. A block transition criterion is developed for selecting the subset of codebook for searching. Simulation results show that the encoding time required by the proposed algorithm is just about 10 - 20% of that required by the full search with almost the same output image quality.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Man-Yee Lee Anson and Jian Feng "Subregion search algorithm for efficient VQ encoding of images", Proc. SPIE 4067, Visual Communications and Image Processing 2000, (30 May 2000); https://doi.org/10.1117/12.386682
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