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TIP
2008
163views more  TIP 2008»
13 years 5 months ago
Image Modeling and Denoising With Orientation-Adapted Gaussian Scale Mixtures
We develop a statistical model to describe the spatially varying behavior of local neighborhoods of coefficients in a multiscale image representation. Neighborhoods are modeled as ...
David K. Hammond, Eero P. Simoncelli
CIMAGING
2010
189views Hardware» more  CIMAGING 2010»
13 years 7 months ago
Novel integro-differential equations in image processing and its applications
Motivated by the hierarchical multiscale image representation of Tadmor et al.,1 we propose a novel integrodifferential equation (IDE) for a multiscale image representation. To th...
Prashant Athavale, Eitan Tadmor
ICPR
2006
IEEE
14 years 6 months ago
Simultaneous Image Denoising and Compression by Multiscale 2D Tensor Voting
In this paper we propose a method that simultaneously performs image denoising and compression by using multiscale tensor voting. Given a real color image, the pixels are first co...
Yu-Wing Tai, Wai-Shun Tong, Chi-Keung Tang
TIP
2008
205views more  TIP 2008»
13 years 5 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
CVPR
2012
IEEE
11 years 7 months ago
Robust Boltzmann Machines for recognition and denoising
While Boltzmann Machines have been successful at unsupervised learning and density modeling of images and speech data, they can be very sensitive to noise in the data. In this pap...
Yichuan Tang, Ruslan Salakhutdinov, Geoffrey E. Hi...