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Proceedings Paper

An efficient method of noise suppression in security systems
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Paper Abstract

This paper is devoted to denoising technique for video noise removal and deals with advanced WT (Wavelet Transform) based method of noise suppression for security purposes. Many sources of unwanted distortion exist in the real surveillance system especially when the sensing is done at extremely low light level conditions. Our goal was to optimize the WT based algorithm to be applicable for the noise suppression in security videos with high computational efficiency. Preprocessing is applied to the output of the sensing system to make the video data more suitable for further denoising. Then a WT based statistical denoising method is applied. The method uses BLSE (Bayesian Least Square Error Estimator) of WT coefficients while utilizing generalized Laplacian PDF modeling and optimized moment method for parameters estimation. Several tests have been done to verify high noise suppression performance, computational efficiency and low distortion of important features. Experimental results show that the described method performs well for wide range of light conditions and respective signal-to-noise ratios.

Paper Details

Date Published: 24 September 2007
PDF: 10 pages
Proc. SPIE 6696, Applications of Digital Image Processing XXX, 66960I (24 September 2007); doi: 10.1117/12.733104
Show Author Affiliations
Karel Fliegel, Czech Technical Univ. in Prague (Czech Republic)
Jan Švihlik, Czech Technical Univ. in Prague (Czech Republic)


Published in SPIE Proceedings Vol. 6696:
Applications of Digital Image Processing XXX
Andrew G. Tescher, Editor(s)

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