Removing Noise from Digital Images Using of Mean Square Approximation

被引：0
|
作者：
Peksinski, Jakub [1 ]
Mikolajczak, Grzegorz [1 ]
机构：
[1] W Pomeranian Univ Technol, Fac Elect Engn, PL-71126 Szczecin, Poland
来源：
2011 3RD INTERNATIONAL CONFERENCE ON ENVIRONMENTAL SCIENCE AND INFORMATION APPLICATION TECHNOLOGY ESIAT 2011, VOL 10, PT B | 2011年 / 10卷
关键词：
mean square approximation; removing noise;
D O I：
10.1016/j.proenv.2011.09.157
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
In the paper a two-dimensional approximation titter obtained on the base of mean-square error minimalisation is presented. As the measure of quality the mean square error (MSE) criterion has been used. Image has been corrupted by some noise using normal (Gaussian), Laplace, and uniform distributions of variance sigma(2) and the mean value equal to zero. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Conference ESIAT2011 Organization Committee.
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页码：980 / 985
页数：6
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