Video denoising using fuzzy-connectedness principles

被引：6

作者：

Ling, WK ^{[1
]}

Tam, PKS ^{[1
]}

机构：

[1] Hong Kong Polytech Univ, Dept Elect & Informat Engn, Kowloon, Hong Kong, Peoples R China

来源：

PROCEEDINGS OF 2001 INTERNATIONAL SYMPOSIUM ON INTELLIGENT MULTIMEDIA, VIDEO AND SPEECH PROCESSING | 2001年

关键词：

fuzzy-connectedness principles; image segmentation; video denoising; additive white Gaussian noise; impulsive noise; Wiener filter; median filter;

D O I：

10.1109/ISIMP.2001.925450

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Fuzzy-connectedness principles are effective for image segmentation. In this paper, such a principle is applied to video denoising. Assume a video signal suffers from both additive white Gaussian noise and impulsive noise. The corrupted signal is filtered by a fuzzy system, which fuzzily connects a Wiener filter and a median filter together. The simulation results show that the fuzzy-connectedness approach produces desirable outputs.

引用

页码：531 / 534

页数：4

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