Image Denoising Based on Correlations of Inter-scale Coefficients in Contourlet Domain

摘要：

A new image denoising algorithm based on contourlet transform is presented in this paper.The new approach takes the correlations of inter-scale contourlet coefficients into account in the process of shrinkage,and assumes that the noise-free contourlet coefficients are correlated to their parent coefficients which locate at a different scale.By computing the relativity coefficients across scales,we consider those with smaller values are more likely the noisy coefficients.And then we remove those coefficients whose magnitudes and corresponding relativity coefficients are both small.Experimental results demonstrate that the proposed algorithm can not only maintain the edges of an image,but obtain higher PSNR and better visual quality.

作者: Fan Yang Ruizhen Zhao Shaohai Hu

作者单位: Institute of Information Science,Beijing Jiaotong University,Beijing 100044,China

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）