DocumentCode
2538137
Title
A Best Wavelet Packet Basis Image Compression Algorithm Based on PSO
Author
Ouyang, Chunjuan ; Li, Sia ; Wang, Na
Author_Institution
Coll. of Electron. & Inf. Eng., Jinggangshan Univ., Ji´´an, China
fYear
2010
fDate
13-15 Dec. 2010
Firstpage
11
Lastpage
13
Abstract
A new wavelet packet image compression method is proposed based on PSO algorithm. The PSO is utilized to find out the best wavelet packet basis for image compression. A fitness function is designed in terms of the Mean Square Error (MSE) and the sum of the node entropy. Compared with the global soft threshold compression algorithm provided by Matlab soft, the proposed method exhibits better compression capability.
Keywords
data compression; image coding; mean square error methods; particle swarm optimisation; wavelet transforms; MSE; Matlab soft; PSO algorithm; fitness function; mean square error; particle swarm optimization; wavelet packet basis image compression algorithm; Genetics; PSO; best wavelet packet basis; image compression;
fLanguage
English
Publisher
ieee
Conference_Titel
Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
Conference_Location
Shenzhen
Print_ISBN
978-1-4244-8891-9
Electronic_ISBN
978-0-7695-4281-2
Type
conf
DOI
10.1109/ICGEC.2010.11
Filename
5715358
Link To Document