Quality enhancement in security image information

被引：1
|
作者：
Klima, Milos [1 ]
Fliegel, Karel [1 ]
Svihlik, Jan [1 ]
机构：
[1] Czech Tech Univ, Tech 2, Prague 16627, Czech Republic
来源：
2006: 40TH ANNUAL IEEE INTERNATIONAL CARNAHAN CONFERENCES SECURITY TECHNOLOGY, PROCEEDINGS | 2006年
关键词：
Image Quality; Security Imaging; Image compression; image processing; image quality; artificial neural networks; wavelet transform; Bayesian estimator;
D O I：
10.1109/CCST.2006.313430
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The image quality of image or video information is a crucial issue in security imaging systems. Our paper deals with three different points - a posteriori image improvement, objective image quality assessment and noise removal. In the first part we have tested and evaluated the impact of edge-enhancing operators. Their performance is of two contradictory effects - edge sharpening and noise level increase. The second part summarizes the ANN application in the objective image quality evaluation procedure. The advanced approach is based upon two advanced methods - Mutual Information MI and Principal Component Analysis PCA. The third part is devoted to the DWT noise-removal technique and the experimental results are presented.
引用
收藏
页码：60 / +
页数：3
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