DocumentCode
1797870
Title
An image coding of shape adaptive wavelet-based contourlet transform
Author
Zhenghua Shu ; Guodong Liu ; Zhihua Xie
Author_Institution
Key Lab. of Opt.-Electron. & Commun., Jiangxi Sci. & Technol. Normal Univ., Nanchang, China
fYear
2014
fDate
15-17 Nov. 2014
Firstpage
754
Lastpage
758
Abstract
Contourlet wavelet transform and improved Contourlet transform large redundancy disadvantages, this paper proposes A shape-adaptive wavelet-based contourlet coding method, First, the theory of shape-adaptive wavelet-based contourlet is discussed, and the video object is decomposed into three-level shape-adaptive wavelet-based contourlet according to the mask image. Then, an extend-SPIHT method is proposed, which improve the efficiency of SPIHT method. the method not only has the general characteristics of zero tree wavelet coding algorithm based on the outside, also has the characteristic directionality and anisotropy, especially information and texture information of the image edge have good ability to capture and decode visual effect. The experimental results show that the image coding scheme SA-WBCT is proposed in this paper compression algorithm for compression effect is obviously better than that of classic and current advanced (especially at low bit rates), had higher PSNR value and subjective visual effect, so it has a bright application prospect.
Keywords
image coding; trees (mathematics); wavelet transforms; SA-WBCT scheme; extend-SPIHT method; image coding scheme; shape-adaptive wavelet-based contourlet transformcoding method; three-level shape-adaptive wavelet-based contourlet; zero tree wavelet coding algorithm; Filter banks; Image coding; Image segmentation; PSNR; Shape; Wavelet transforms; A shape coding; Extened-SPIHT; Image coding; Shape-Adaptive Wavelet-Based Contourlet Transform(SA-WBCT);
fLanguage
English
Publisher
ieee
Conference_Titel
Systems and Informatics (ICSAI), 2014 2nd International Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4799-5457-5
Type
conf
DOI
10.1109/ICSAI.2014.7009385
Filename
7009385
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