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2008
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13 years 7 months ago
Image Denoising Using Derotated Complex Wavelet Coefficients
A method for removing additive Gaussian noise from digital images is described. It is based on statistical modeling of the coefficients of a redundant, oriented, complex multiscale...
Mark Miller, Nick G. Kingsbury
ICASSP
2010
IEEE
13 years 7 months ago
An estimation method for the relative phase parameters of complex wavelet coefficients in noise
This paper proposes a method to estimate the parameters of the relative phase probability density function (RP pdf) of the complex coefficients when the image is corrupted by add...
Yothin Rakvongthai, Soontorn Oraintara
ICIP
2009
IEEE
14 years 8 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 ...
ICASSP
2008
IEEE
14 years 1 months ago
Video denoising using a spatiotemporal statistical model of wavelet coefficients
We propose a video denoising algorithm based on a spatiotemporal Gaussian scale mixture (ST-GSM) model in the wavelet transform domain. This model simultaneously captures local co...
Gijesh Varghese, Zhou Wang
ICIP
2006
IEEE
14 years 9 months ago
Laplace Random Vectors, Gaussian Noise, and the Generalized Incomplete Gamma Function
Wavelet domain statistical modeling of images has focused on modeling the peaked heavy-tailed behavior of the marginal distribution and on modeling the dependencies between coeffi...
Ivan W. Selesnick