Fuzzy bilateral filtering for color images

被引：0

作者：

Morillas, Samuel ^{[1
]}

Gregori, Valentin ^{[1
]}

Sapena, Almanzor ^{[1
]}

机构：

[1] Univ Politecn Valencia, EPS Gandia, Gandia 46730, Valencia, Spain

来源：

IMAGE ANALYSIS AND RECOGNITION, PT 1 | 2006年 / 4141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：

Bilateral filtering is a well-known technique for smoothing gray-scale and color images while preserving edges and image details by means of an appropriate nonlinear combination of the color vectors in a neighborhood. The pixel colors are combined based on their spatial closeness and photometric similarity. In this paper, a particular class of fuzzy metrics is used to represent the spatial and photometric relations between the color pixels adapting the classical bilateral filtering. It is shown that the use of these fuzzy metrics is more appropriate than the classical measures used.

引用

页码：138 / 145

页数：8

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