Spatially Adaptive Noise Removal Algorithm Using Local Statistics

被引：1

作者：

Tuan-Anh Nguyen ^{[1
]}

Song, Won-Seon ^{[1
]}

Hong, Min-Cheol ^{[1
]}

机构：

[1] Soongsil Univ, Sch Elect Engn, Seoul 156743, South Korea

来源：

IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES | 2011年 / E94A卷 / 01期

关键词：

noise; detection; removal; local statistics; smoothness; MEDIAN FILTERS; IMPULSE NOISE; DETECTOR;

D O I：

10.1587/transfun.E94.A.452

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this letter, we propose a spatially adaptive noise removal algorithm using local statistics. The proposed algorithm consists of two stages: noise detection and removal. In order to solve the trade-off between the effective noise suppression and the over-smoothness of the reconstructed image, local statistics such as local maximum and the local weighted activity is defined. With the local statistics, the noise detection function is defined and a modified Gaussian filter is used to suppress the detected noise components. The experimental results demonstrate the effectiveness of the proposed algorithm.

引用

页码：452 / 456

页数：5

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