DocumentCode
745587
Title
Local characteristic based wavelet shrinkage denoising algorithm
Author
Shengqian, Wang ; Yuanhua, Zhou ; Daowen, Zou
Author_Institution
Inst. of Image Commun. & Inf. Process., Shanghai Jiao Tong Univ., China
Volume
38
Issue
9
fYear
2002
fDate
4/25/2002 12:00:00 AM
Firstpage
411
Lastpage
412
Abstract
A new wavelet shrinkage denoising algorithm for an image is presented, which is based on the local characteristic of an image. The proposed algorithm efficiently reduces noise and achieves better peak signal-to-noise ratio than in previous work. It is shown that this method can reduce noise for low SNR images
Keywords
image processing; interference suppression; optical noise; wavelet transforms; local characteristic based wavelet shrinkage denoising algorithm; local image characteristic; low SNR images; noise reduction; peak signal-to-noise ratio; wavelet shrinkage denoising algorithm; wavelet shrinkage image denoising algorithm;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:20020292
Filename
1001543
Link To Document