A modified SLT denoising method
Chen Xi.; Peng Silong; Xi Chen
2008
会议名称SITIS 2008
页码pp 430-434
会议日期2008/11/30-2008/12/3
会议地点IndonesiaBali Indonesia
摘要Wavelet shrinkage denoising has been investigated for a long time due to its simplicity and good results. SLT denoising proposed by Yacov Hel-Or et al. recently generates mapping functions (MFs) also known as shrinkage function which are learned directly from example images using least-squares fitting. In this paper we design MFs with the prior information properly incorporated in SLT denoising. Since coefficients in the same wavelet subband have different statistic characteristics we first classify wavelet coefficients into different classes. Then MFs for different regions are deduced with corresponding prior model. Experimental results give a direct show that the proposed method obtains higher PSNR (Peak Signal to Noise Ratio) and improve visual quality of the denoised images.
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文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12884
专题智能制造技术与系统研究中心_多维数据分析
通讯作者Xi Chen
推荐引用方式
GB/T 7714
Chen Xi.,Peng Silong,Xi Chen. A modified SLT denoising method[C],2008:pp 430-434.
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