An Image Compression Algorithm based on Image Segmentation by Improved PCNN
Combine with research on human vision system, an image compression algorithm which first segment the image by improved PCNN is been proposed in this paper. The algorithm first fully adaptive segmentation using improved PCNN, the image is divided into a high level of interest regional and low information area according to the human eye. Then with the mask to distinguish, encoding them through the SPIHT respectively after the lifting wavelet transform. Through control coding bit stream, image quality and compression ratio of different regions are reasonable coordinated. Finally we using inverse transform to recover image. Compared with the original image, restore image distortion is very small in the interest regional of the human eye. Experimental results show that the realization of a relatively high compression ratio and the reconstructed image has high visual quality.
image segmentation image compression improved PCNN lifting wavelet SPIHT encoding
Yuping DUAN Yecai GUO Shaobo WANG
School of Electrical Engineering and Information, Anhui University of Science and Technology, Huaina School of Electrical Engineering and Information, Anhui University of Science and Technology, Huaina
国际会议
南京
英文
700-706
2010-05-08（万方平台首次上网日期，不代表论文的发表时间）