Quality Enhancement in Security Image Information

Author

Klima, Milos ; Fliegel, Karel ; Svihlik, Jan

Author_Institution

Czech Tech. Univ., Praha

fYear

2006

fDate

Oct. 2006

Firstpage

60

Lastpage

67

Abstract

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

Keywords

discrete wavelet transforms; image enhancement; interference suppression; neural nets; principal component analysis; security; artificial neural networks; discrete wavelet transform; edge sharpening; image improvement; image processing; image quality enhancement; mutual information; noise removal; principal component analysis; security image information; Artificial neural networks; Discrete wavelet transforms; Distortion measurement; Image enhancement; Image quality; Information security; Layout; Mutual information; Principal component analysis; Testing; Bayesian estimator; Image Quality; Image compression; Security Imaging; Wavelet transform; artificial neural networks; image processing; image quality;

fLanguage

English

Publisher

ieee

Conference_Titel

Carnahan Conferences Security Technology, Proceedings 2006 40th Annual IEEE International

Conference_Location

Lexington, KY

Print_ISBN

1-4244-0174-7

Type

conf

DOI

10.1109/CCST.2006.313430

Filename

4105317