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» Image Denoising Using Derotated Complex Wavelet Coefficients
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ICIP
2006
IEEE
15 years 11 months ago
Wavelet Denoising of Multicomponent Images, using a Noise-Free Image
In this paper, a Bayesian wavelet denoising procedure for multicomponent images is proposed. The procedure makes use of a noise-free single component image as prior information. T...
Paul Scheunders, Steve De Backer
ICIP
2002
IEEE
15 years 11 months ago
Satellite and aerial image deconvolution using an EM method with complex wavelets
In this paper, we present a new deconvolution method, able to deal with noninvertible blurring functions. To avoid noise amplification, a prior model of the image to be reconstruc...
André Jalobeanu, Josiane Zerubia, Má...
ICIP
2009
IEEE
15 years 10 months ago
Context-based Bias Removal Of Statistical Models Of Wavelet Coefficients For Image Denoising
Existing wavelet-based image denoising techniques all assume a probability model of wavelet coefficients that has zero mean, such as zero-mean Laplacian, Gaussian, or generalized ...
ICIP
2007
IEEE
15 years 11 months ago
salienShrink: Saliency-Based Wavelet Shrinkage
This paper describes salienShrink, a method to denoise images based on computing a map of salient coefficients in the wavelet domain and use it to improve common denoising algorit...
Konstantinos Rapantzikos, Yannis S. Avrithis, Stef...
ICPR
2006
IEEE
15 years 10 months ago
Wavelet denoising of multicomponent images, using a Gaussian Scale Mixture model
In this paper, denoising on multicomponent images is performed. The presented procedure is a spatial waveletbased denoising techniques, based on Bayesian leastsquares optimization...
Paul Scheunders, Steve De Backer