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DAGM
2005
Springer
13 years 10 months ago
Variational Deblurring of Images with Uncertain and Spatially Variant Blurs
We consider the problem of deblurring images which have been blurred by different reasons during image acquisition. We propose a variational approach admitting spatially variant an...
Martin Welk, David Theis, Joachim Weickert
SCALESPACE
2007
Springer
13 years 11 months ago
Restoration of Images with Piecewise Space-Variant Blur
We address the problem of space-variant image deblurring, where different parts of the image are blurred by different blur kernels. Assuming a region-wise space variant point spr...
Leah Bar, Nir A. Sochen, Nahum Kiryati
CVPR
2010
IEEE
14 years 1 months ago
Coded Exposure Imaging for Projective Motion Deblurring
We propose a method for deblurring of spatially variant object motion. A principal challenge of this problem is how to estimate the point spread function (PSF) of the spatially va...
Yu-Wing Tai, Naejin Kong, Stephen Lin, Sung Yong S...
ICIP
2002
IEEE
14 years 6 months ago
A curve evolution-based variational approach to simultaneous image restoration and segmentation
In this paper, we introduce a novel approach for simultaneous restoration and segmentation of blurred, noisy images by approaching a variant of the Mumford-Shah functional from a ...
Alan S. Willsky, Andy Tsai, Junmo Kim, Müjdat...
DAGM
2007
Springer
13 years 11 months ago
Image Statistics and Local Spatial Conditions for Nonstationary Blurred Image Reconstruction
Deblurring is important in many visual systems. This paper presents a novel approach for nonstationary blurred image reconstruction with ringing reduction in a variational Bayesian...
Hongwei Zheng, Olaf Hellwich