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OE Letters

Fast K-dimensional tree-structured vector quantization encoding method for image compression

[+] Author Affiliations
A. Meyer-Ba¨se, K. Jancke, A. Wismu¨ller

Florida State University, Department of Electrical and Computer Engineering, Tallahassee, Florida 32310-6046

M. Georgiopoulos

University of Central Florida, School of Engineering and Computer Science, Orlando, Florida 32816-2362

Opt. Eng. 43(5), 1012-1013 (May 01, 2004). doi:10.1117/1.1683885
History: Received Oct. 23, 2003; Revised Dec. 1, 2003; Accepted Dec. 9, 2003; Online April 19, 2004
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This paper presents a fast K-dimensional tree-based search method to speed up the encoding process for vector quantization. The method is especially designed for very large codebooks and is based on a local search rather than on a global search including the whole feature space. The relations between the proposed method and several existing fast algorithms are discussed. Simulation results demonstrate that with little preprocessing and memory cost, the encoding time of the new algorithm has been reduced significantly while encoding quality remains the same with respect to other existing fast algorithms. © 2004 Society of Photo-Optical Instrumentation Engineers.

© 2004 Society of Photo-Optical Instrumentation Engineers

Citation

A. Meyer-Ba¨se ; K. Jancke ; A. Wismu¨ller and M. Georgiopoulos
"Fast K-dimensional tree-structured vector quantization encoding method for image compression", Opt. Eng. 43(5), 1012-1013 (May 01, 2004). ; http://dx.doi.org/10.1117/1.1683885


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