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
收藏
页码：452 / 456
页数：5
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