A modified SLT denoising method

	A modified SLT denoising method
	Chen Xi.; Peng Silong; Xi Chen
	2008
会议日期	2008/11/30-2008/12/3
会议地点	IndonesiaBali Indonesia
关键词	无
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.
内容类型	会议论文
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.