Bilateral filtering in the wavelet domain

被引：0

作者：

Cai, C ^{[1
]}

Ding, MY ^{[1
]}

Zhou, CP ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Inst Pattern Recognit & Artificial Intelligence, State Educ Commiss Key Lab Image Proc & Intellige, Wuhan 430074, Peoples R China

来源：

IMAGE MATCHING AND ANALYSIS | 2001年 / 4552卷

关键词：

wavelets; multiresolution; denoising; filter; bilateral filter;

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：

In this paper, we introduced several noise removing techniques in the wavelet domain, analyzed the properties of bilateral filtering. Following them, bilateral filtering in the wavelet domain was proposed. With this method, the properties of time-frequency localization and multiresolution of wavelets were used. At last, we demonstrated the efficient noise removing and sharpening of object boundaries and detailed structures by applying this image processing technique to different images.

引用

页码：246 / 252

页数：7

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