DocumentCode
496358
Title
An Image Coding Approach Using Wavelet-Based Adaptive Contourlet Transform
Author
Yan, Yuzhen ; Tian, Zhiqiang ; Chongyuan Bi ; Bi, Chongyuan
Author_Institution
Inst. of Artificial Intell. & Robot., Xi´´an Jiaotong Univ., Xi´´an, China
Volume
1
fYear
2009
fDate
24-26 April 2009
Firstpage
811
Lastpage
815
Abstract
In this paper, we propose an image coding approach using wavelet-based adaptive contourlet transform. The approach adopts the wavelet transform to implement subband decomposition to replace Laplace pyramid decomposition in contourlet transform, and thus the redundancy caused by the Laplace pyramid decomposition can be eliminated. Moreover, it chooses the directional filter banks as a key technique, combine SPIHT code, and realizes image compression coding called wavelet-based adaptive contourlet transform. The experiment results show that our approach is comparatively more effective than wavelet, contourlet and wavelet-based contourlet transform in terms of accurately capturing the characteristics of the texture and the edge of the image.
Keywords
adaptive codes; data compression; edge detection; filtering theory; image coding; image texture; wavelet transforms; Laplace pyramid decomposition; SPIHT code; directional filter bank; image coding approach; image compression coding; image edge; image texture; subband decomposition; wavelet-based adaptive contourlet transform; Artificial intelligence; Bismuth; Filter bank; Frequency; Image coding; Image reconstruction; Image sampling; Intelligent robots; PSNR; Wavelet transforms; contourlet; directional filter banks; image coding; laplace pyramid; wavelet;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location
Sanya, Hainan
Print_ISBN
978-0-7695-3605-7
Type
conf
DOI
10.1109/CSO.2009.309
Filename
5193815
Link To Document