Wavelet denoising - threshold selection by the histogram shape of wavelet coefficients

被引：0
|
作者：
Kubota, H. [1 ]
Tai, Y. [2 ]
Katagiri, M. [1 ]
机构：
[1] Suzuka Univ Med Sci, Grad Sch Hlth Sci, Kishioka Cho 1001-1, Suzuka, Mie 5100293, Japan
[2] Suzuka Univ Med Sci, Fac Med Engn, Suzuka, Japan
来源：
WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING 2006, VOL 14, PTS 1-6 | 2007年 / 14卷
关键词：
wavelet; denoising; threshold; histogram shape of coefficients; noise power;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
A simple method of threshold selection for medical image denoising has been proposed. A noise added image was transformed to wavelet domain, the histograms of wavelet coefficients were obtained for each resolution level and component. We found the shapes of histograms were almost the same, and have a common shape. The threshold value was determined by linear approximation of the portion of a histogram.
引用
收藏
页码：2509 / +
页数：2
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