An Image Coding Approach Using Wavelet-Based Adaptive Contourlet Transform

摘要：

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.

作者: Guoan Yang Zhiqiang Tian Chongyuan Bi Yuzhen Yan

作者单位: Institute of Artificial Intelligence and Robotics, Xian Jiaotong University, Xian 710049, China

会议类型: 国际会议

会议名称: The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)

会议地点: 三亚

会议语种:英文

页码: 811-815

在线出版日期: 2009-04-24（万方平台首次上网日期，不代表论文的发表时间）