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
fDate :
4/25/2002 12:00:00 AM
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;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20020292
