CAS '99 Proceedings. 1999 International Semiconductor Conference (Cat. No.99TH8389)
DOI: 10.1109/smicnd.1999.810523
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Removal of mixed-noise using order statistic filter and wavelet domain Wiener filter

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Cited by 8 publications
(5 citation statements)
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“…So Gaussian filters are widely used in image filtering. In [51], the removal of mixed noise using order statistic filter and wavelet domain Wiener filter is proposed. Authors have evaluated two methods.…”
Section: Pre-or Post -Processingmentioning
confidence: 99%
“…So Gaussian filters are widely used in image filtering. In [51], the removal of mixed noise using order statistic filter and wavelet domain Wiener filter is proposed. Authors have evaluated two methods.…”
Section: Pre-or Post -Processingmentioning
confidence: 99%
“…In a differential equation, if the unknown function to be solved only contains one argument, the equation is called ODE (ordinary differential equation); if the unknown function to be solved contains at least one argument, and there appears partial derivative of each order of multivariate function for different independent variables in the equation, the equation is called partial differential equation [11,12,13].…”
Section: A Basic Conceptionmentioning
confidence: 99%
“…The Fourier transform is only localized in frequency, but wavelet transform are localized in both time and frequency. Fast wavelet transform(FWT) is a computationally efficient implementation of wavelet transform [2][3][4] . If scaling vector is h, and wavelet vector is g, scaling and wavelet functions can be derived:…”
Section: The Theory Of Wavelet Transformmentioning
confidence: 99%
“…The other is based on image restoration method, this method doesn't need to establish the atmospheric model and directly enhance fog-degraded image details ] .Some previous image restoration algorithms only consider noise reduction and do not care about detail restoration. Some image restoration algorithms are reversed [1][2][3][4][5][6][7][8] . This paper presents a new wavelet-based method that considers both detail restoration and noise reduction.…”
Section: Introductionmentioning
confidence: 99%