"San Diego" . "RIV/68407700:21230/07:03132683!RIV08-GA0-21230___" . "409302" . "978-0-8194-6844-4" . "SPIE" . . "[4488EB8EDD3A]" . . "21230" . "An Efficient Method of Noise Suppression in Security Systems" . . "66960I-01;66960I-10" . . . "10"^^ . . "Efektivn\u00ED metoda pro potla\u010Den\u00ED \u0161umu v bezpe\u010Dnostn\u00EDch syst\u00E9mech"@cs . . "Applications of Digital Image Processing XXX" . . "image processing; image quality; image sensors; imaging systems; noise suppression; surveillance systems"@en . . . "An Efficient Method of Noise Suppression in Security Systems" . . "2"^^ . . . . "2"^^ . "Bellingham" . "RIV/68407700:21230/07:03132683" . "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. 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."@en . . . "Tento \u010Dl\u00E1nek se zab\u00FDv\u00E1 metodou pro potla\u010Den\u00ED \u0161umu v obraze s vyu\u017Eit\u00EDm vlnkov\u00E9 transformace."@cs . "Fliegel, Karel" . . . "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. 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." . "An Efficient Method of Noise Suppression in Security Systems"@en . "An Efficient Method of Noise Suppression in Security Systems"@en . "Efektivn\u00ED metoda pro potla\u010Den\u00ED \u0161umu v bezpe\u010Dnostn\u00EDch syst\u00E9mech"@cs . "\u0160vihl\u00EDk, Jan" . . . "2007-08-26+02:00"^^ . "P(GA102/05/2054), Z(MSM6840770014)" . . .