Title :
Improved Image Coding Algorithm Based on Embedded Zerotree
Author :
Xuhong, Liu ; Fuheng, Liu ; Guijuan, Kuang ; Xiu, Yi
Author_Institution :
Beijing Inst. of Machinery, Beijing
fDate :
July 30 2007-Aug. 1 2007
Abstract :
This paper presents an improved embedded zerotree wavelet (EZW) coding algorithm. According to the characteristic of coefficients and human visual system (HVS), an attempt is made to improve Shapiro´s EZW algorithm. The improved algorithm pays more attention to the edge of one image because human visual system is sensitive to the distortion of image edge information. Experiments results show that the improved algorithm performs better than EZW in reconstruction image quality, especially in the case of low rate.
Keywords :
image coding; image reconstruction; trees (mathematics); wavelet transforms; embedded zerotree wavelet coding algorithm; human visual system; image coding algorithm; image edge information; image quality reconstruction; Distributed computing; Entropy; Humans; Image coding; Internet; Software algorithms; Software engineering; Visual system; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-2909-7
DOI :
10.1109/SNPD.2007.69
