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
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;
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
DOI :
10.1109/CSO.2009.309