DocumentCode
1739604
Title
New fast search algorithm for image vector quantization
Author
Lee, Anson M Y ; Feng, J. ; Lo, K.T. ; Tang, Japen H T
Author_Institution
Dept. of Electron. Eng., City Univ. of Hong Kong, China
Volume
2
fYear
2000
fDate
2000
Firstpage
1069
Abstract
In this paper, a new fast encoding algorithm based on the concept of finite-state VQ has been proposed for image vector quantization. In the proposed scheme, each input block will only search a portion of the codebook to locate the best match vector according to the state of the neighboring blocks. A block transition criterion is developed for selecting a subset of the 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
Keywords
image coding; search problems; vector quantisation; FSVQ; best match vector location; block transition criterion; codebook; fast encoding algorithm; fast search algorithm; finite-state VQ; image vector quantization; simulation results; Bit rate; Code standards; Decoding; Encoding; Image coding; Image quality; Image reconstruction; Smoothing methods; Testing; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-5747-7
Type
conf
DOI
10.1109/ICOSP.2000.891718
Filename
891718
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