DocumentCode
1540060
Title
A fast encoding algorithm for vector quantization
Author
Baek, Seongjoon ; Jeon, BumKi ; Sung, Koeng-Mo
Author_Institution
Dept. of Electr. Eng., Seoul Nat. Univ., South Korea
Volume
4
Issue
12
fYear
1997
Firstpage
325
Lastpage
327
Abstract
In this letter, we present a fast encoding algorithm for vector quantization that uses two characteristics of a vector, mean, and variance. Although a similar method using these features was already proposed, it handles these features separately, On the other hand, the proposed algorithm utilizes these features simultaneously to save computation time all the more. Since the proposed algorithm rejects those codewords that are impossible to be the nearest codeword, it produces the same output as the conventional full search algorithm. The simulation results confirm the effectiveness of the proposed algorithm.
Keywords
computational complexity; image coding; vector quantisation; codewords; computation time; equal average equal variance nearest neighbor search algorithm; equal average nearest neighbor search algorithm; fast encoding algorithm; images; mean; simulation results; variance; vector quantization; Acceleration; Bit rate; Computational complexity; Computational modeling; Encoding; Image coding; Nearest neighbor searches; Signal processing algorithms; Tree data structures; Vector quantization;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/97.650035
Filename
650035
Link To Document