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» Blur kernel estimation using the Radon Transform
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MVA
2007
149views Computer Vision» more  MVA 2007»
13 years 7 months ago
Shift-Variant Restoration of Defocused Images Using Shift-Invariant Wavelet Transform
In this paper, we restore a blurred image caused by defocus of a lens using the shift-invariant Wavelet transform realized by the RI-Spline Wavelets. In a defocus blurred image, t...
Hisanaga Fujiwara, Zhong Zhang, Tetsuo Miyake, Aki...
ICASSP
2010
IEEE
13 years 6 months ago
3D shape estimation from silhouettes using mean-shift
In this article, a novel method to accurately estimate 3D surface of objects of interest is proposed. Each ray projected from 2D image plane to 3D space is modelled with the Gauss...
Donghoon Kim, Jonathan Ruttle, Rozenn Dahyot
TMI
2002
115views more  TMI 2002»
13 years 5 months ago
Discretization of the Radon transform and of its inverse by spline convolutions
Abstract--We present an explicit formula for B-spline convolution kernels; these are defined as the convolution of several B-splines of variable widths and degrees . We apply our r...
Stefan Horbelt, Michael Liebling, Michael Unser
ICIP
2007
IEEE
14 years 7 months ago
Direct Motion Estimation in the Radon Transform Domain using Match-Profile Backprojections
Integral projections have been proposed as an efficient method to reduce the dimensionality of the search space in motion estimation (ME) algorithms. A number of papers describe m...
Chris Bartels, Gerard de Haan
ICASSP
2008
IEEE
14 years 6 days ago
Robust image registration with illumination, blur and noise variations for super-resolution
Super-resolution reconstruction algorithms assume the availability of exact registration and blur parameters. Inaccurate estimation of these parameters adversely affects the quali...
Himanshu Arora, Anoop M. Namboodiri, C. V. Jawahar