Wavelet denoising in non gaussian noise using MDL principle

被引：0

作者：

Xie, JC ^{[1
]}

Zhang, DL ^{[1
]}

Xu, WL ^{[1
]}

机构：

[1] Tsing Hua Univ, Dept Automat, Beijing 100084, Peoples R China

来源：

PROCEEDINGS OF THE 4TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-4 | 2002年

关键词：

D O I：

10.1109/WCICA.2002.1021450

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Wavelet methods have succeeded in image denoising in gaussian noise. In non-gaussian noise, however, these methods will degrade drastically. By employing MDL principle and a wavelet coefficient model, this paper puts a study on image denoising in gaussian mixture noise. A new denoising scheme is derived and found to base on a per pixel detection. Experiments results show that the new scheme can not only denoise the image with small square error, but also provide high facility for the further compression.

引用

页码：2075 / 2079

页数：5

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