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
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;
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
DOI :
10.1109/ICGEC.2010.11
