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» Image Denoising Using Sparse Representations
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NECO
2010
154views more  NECO 2010»
14 years 10 months ago
Role of Homeostasis in Learning Sparse Representations
Neurons in the input layer of primary visual cortex in primates develop edge-like receptive fields. One approach to understanding the emergence of this response is to state that ...
Laurent U. Perrinet
ICPR
2008
IEEE
16 years 28 days ago
Region-based active contours and sparse representations for texture segmentation
In this paper we propose a rigorous framework for texture image segmentation relying on region-based active contours (RBAC) and sparse texture representation. Such representations...
François Lecellier, Gilles Aubert, Jalal Fa...
SIAMIS
2011
14 years 6 months ago
Gradient-Based Methods for Sparse Recovery
The convergence rate is analyzed for the sparse reconstruction by separable approximation (SpaRSA) algorithm for minimizing a sum f(x) + ψ(x), where f is smooth and ψ is convex, ...
William W. Hager, Dzung T. Phan, Hongchao Zhang
CIMAGING
2010
189views Hardware» more  CIMAGING 2010»
15 years 1 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
TIP
2010
189views more  TIP 2010»
14 years 10 months ago
Image Inpainting by Patch Propagation Using Patch Sparsity
Abstract—This paper introduces a novel examplar-based inpainting algorithm through investigating the sparsity of natural image patches. Two novel concepts of sparsity at the patc...
Zongben Xu, Jian Sun