DocumentCode
466961
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
Volume
2
fYear
2007
fDate
July 30 2007-Aug. 1 2007
Firstpage
189
Lastpage
192
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/SNPD.2007.69
Filename
4287676
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