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ICCV
2007
IEEE
14 years 9 months ago
Supervised Learning of Image Restoration with Convolutional Networks
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
Viren Jain, Joseph F. Murray, Fabian Roth, Sriniva...
ICIP
2010
IEEE
13 years 5 months ago
Constructing a sparse convolution matrix for shift varying image restoration problems
Convolution operator is a linear operator characterized by a point spread functions (PSF). In classical image restoration problems, the blur is usually shift invariant and so the ...
Stanley H. Chan
ACCV
2009
Springer
13 years 11 months ago
Refined Exponential Filter with Applications to Image Restoration and Interpolation
Ill-posed linear equations are pervasive in computer vision. A popular way to solve an ill-posed problem is regularization. In this paper, we propose a new criterion for designing ...
Yanlin Geng, Tong Lin, Zhouchen Lin, Pengwei Hao
ICIP
2008
IEEE
14 years 9 months ago
Spect image restoration via Recursive Inverse Filtering constrained by a probabilistic MRI atlas
3D Brain SPECT imagery is a well established functional imaging method which has become a great help to physicians in the diagnosis of several neurological and cerebrovascular dis...
Said Benameur, Max Mignotte, Jean-Paul Soucy, Jean...
JMIV
2006
176views more  JMIV 2006»
13 years 7 months ago
Centroidal Voronoi Tessellation Algorithms for Image Compression, Segmentation, and Multichannel Restoration
Centroidal Voronoi tessellations (CVT's) are special Voronoi tessellations for which the generators of the tessellation are also the centers of mass (or means) of the Voronoi ...
Qiang Du, Max Gunzburger, Lili Ju, Xiaoqiang Wang