Adaptive Block Threshold and Tight Frames for Image Denoising

摘要：

　　In this paper,we propose an Adaptive BlockThreshold and Tight Frames Denoising (ABTTFD) using subblock threshold for image denoising in wavelet domain.The size of sub-block is equivalent to LLn where LL is the low frequency subband,n is the level of wavelet transform.The proposed thresholding called Block-Shrink is more efficient and adaptive because the threshold depends on wavelet coefficients of sub-block and uses the scale parameter.Moreover,tight frames are used to eliminate artifacts.Several test images are used for comparison among several denoising techniques like ABTTFD,Soft thresholding (Soft) and Block translation invariant stein thresholding (B-stein).Experimental resuits show that ABTTFD not only has good performance in visual effect but also obtains higher SNR and computing efficiency.Virtually,it outperforms Soft and B-stein.

关键词： Block thresholding tight frames adaptive image denoising

作者: Yi-Bin YU Xiao-Ben Zheng Jun-Ying Gan

作者单位: School of Information Engineering, Wuyi University, Jiangmen City, China

会议类型: 国际会议

会议名称: 2011 International Conference on Wavelet Analysis and Pattern Recognition(2011小波分析与模式识别国际会议)

会议地点: 桂林

会议语种:英文

页码: 18-23

在线出版日期: 2011-07-10（万方平台首次上网日期，不代表论文的发表时间）