DocumentCode :
998523
Title :
A Fast Encoding Algorithm for Vector Quantization Using Difference Pyramid Structure
Author :
Lee, Chang-Hsing
Author_Institution :
Chung Hua Univ., Hsinchu
Volume :
55
Issue :
12
fYear :
2007
Firstpage :
2245
Lastpage :
2248
Abstract :
This paper proposed a fast vector quantization encoding algorithm called difference pyramid search (DPS). According to the formation of the difference pyramid and partial distortion elimination, a rejection test inequality is derived to progressively reject a lot of nonclosest code words as early as possible. Experimental results show that the proposed DPS algorithm outperforms other pyramid-based fast search algorithms, including mean pyramid search, L2-norm pyramid search, and mean-variance pyramid search.
Keywords :
data compression; distortion; image coding; search problems; vector quantisation; VQ image coding; difference pyramid search; difference pyramid structure; fast closest codeword search algorithm; fast vector quantization encoding algorithm; image compression; partial distortion elimination; rejection test inequality; Channel coding; Decoding; Distortion measurement; Encoding; Euclidean distance; Image coding; Rate-distortion; Size measurement; Testing; Vector quantization; Difference pyramid; mean pyramid; partial distortion elimination (PDE); vector quantization (VQ);
fLanguage :
English
Journal_Title :
Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
0090-6778
Type :
jour
DOI :
10.1109/TCOMM.2007.910599
Filename :
4395268
Link To Document :
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