中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A modified SLT denoising method

文献类型:会议论文

作者Chen Xi.; Peng Silong; Xi Chen
出版日期2008
会议日期2008/11/30-2008/12/3
会议地点IndonesiaBali Indonesia
关键词
页码pp 430-434
英文摘要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.
源URL[http://ir.ia.ac.cn/handle/173211/12884]  
专题自动化研究所_智能制造技术与系统研究中心_多维数据分析团队
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]. 见:. IndonesiaBali Indonesia. 2008/11/30-2008/12/3.

入库方式: OAI收割

来源:自动化研究所

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