A modified SLT denoising method | |
Chen Xi.; Peng Silong![]() ![]() | |
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. |
关键词 | 无 |
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(彭思龙)-技术团队 |
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],2008:pp 430-434. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
A modified SLT denoi(769KB) | 会议论文 | 暂不开放 | CC BY-NC-SA |
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