Image De-noising via Overlapping wavelet atoms

被引：0

作者：

Bruni, V ^{[1
]}

Vitulano, D ^{[1
]}

机构：

[1] CNR, Ist Applicaz Calcolo M Picone, I-00161 Rome, Italy

来源：

IMAGE ANALYSIS AND RECOGNITION, PT 1, PROCEEDINGS | 2004年 / 3211卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper focuses on a novel approach for image denoising: WISDOW (Wavelet based Image and Signal De-noising via Overlapping Waves). It is based on approximating any singularity by means of a basic one in a wavelet domain. This approach allows us to reach some interesting mathematical properties along with good performances in terms of both subjective and objective quality. In fact, achieved results are comparable to the best wavelet approaches requiring a low computational effort and resulting completely automatic.

引用

页码：179 / 186

页数：8

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