›› 2014, Vol. 27 ›› Issue (8): 170-.

• Articles • Previous Articles     Next Articles

Research Based on Immune Clonal Selection Algorithm for Image Compression

GONG Xiaolei,GONG Tao,PENG Yangqin   

  1. (College of Information Science and Technology,Donghua University,Shanghai 201620,China)
  • Online:2014-08-15 Published:2014-07-21

Abstract:

Aiming at the contradictions between compression quality and compression time in the process of image compression,this paper puts forward a kind of image compression algorithm based on immune clonal selection.The algorithm combines the immune clone algorithm antibody diversity,global optimization features and wavelet multi-resolution analysis features.In the compression process not only uses a wavelet decomposition of the low-frequency component,and also joined with a certain frequency portion of the compressed image signal to noise ratio lower,thus ensuring the quality of the image.The experimental results show that,the proposed image compression method has higher compression ratio and good compression effect.

Key words: immune clonal selection;multi-resolution analysis;wavelet transform;SNR

CLC Number: 

  • TP391.41