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» Image denoising via solution paths
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ANOR
2010
87views more  ANOR 2010»
13 years 11 months ago
Image denoising via solution paths
Many image denoising methods can be characterized as minimizing "loss + penalty," where the "loss" measures the fidelity of the denoised image to the data, and ...
Li Wang, Ji Zhu
CVPR
2011
IEEE
13 years 8 months ago
Sparsity-based Image Denoising via Dictionary Learning and Structural Clustering
Where does the sparsity in image signals come from? Local and nonlocal image models have supplied complementary views toward the regularity in natural images the former attempts t...
Weisheng Dong, Xin Li
ICIP
1997
IEEE
15 years 11 days ago
Image Coupling, Restoration and Enhancement via PDE's
We present a new approach based on Partial Differential Equations (PDE) to restore noisy blurred images. After studying the methods to denoise images, staying as close as possible...
Pierre Kornprobst, Rachid Deriche, Gilles Aubert
ICASSP
2009
IEEE
14 years 5 months ago
Denoising scheme for realistic digital photos from unknown sources
: © Denoising Scheme for Realistic Digital Photos from Unknown Sources Suk Hwan Lim, Ron Maurer, Pavel Kisilev HP Laboratories HPL-2008-167 No keywords available. This paper targe...
Suk Hwan Lim, Ron Maurer, Pavel Kisilev
PAMI
2010
222views more  PAMI 2010»
13 years 9 months ago
Minimal Surfaces Extend Shortest Path Segmentation Methods to 3D
—Shortest paths have been used to segment object boundaries with both continuous and discrete image models. Although these techniques are well defined in 2D, the character of the...
Leo Grady