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» Iterated Denoising for Image Recovery
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DCC
2002
IEEE
14 years 4 months ago
Iterated Denoising for Image Recovery
In this paper we propose an algorithm for image recovery where completely lost blocks in an image/video-frame are recovered using spatial information surrounding these blocks. Our...
Onur G. Guleryuz
SIAMIS
2011
13 years 6 days 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
ICIP
2004
IEEE
14 years 6 months ago
Theoretical analysis of some regularized image denoising methods
Regularization techniques have been in use in signal recovery for over four decades. In this paper, we propose a new, synthetic approach to the study of regularization methods in ...
Patrick L. Combettes, Valerie R. Wajs
TIP
2008
135views more  TIP 2008»
13 years 5 months ago
Nonlinear Regularized Reaction-Diffusion Filters for Denoising of Images With Textures
Denoising is always a challenging problem in natural imaging and geophysical data processing. In this paper we consider the denoising of texture images using a nonlinear reaction-...
Gerlind Plonka, Jianwei Ma
CORR
2011
Springer
282views Education» more  CORR 2011»
13 years 8 days ago
Fast Linearized Bregman Iteration for Compressive Sensing and Sparse Denoising
We propose and analyze an extremely fast, efficient and simple method for solving the problem: min{ u 1 :Au=f,u∈Rn }. This method was first described in [1], with more details i...
Stanley Osher, Yu Mao, Bin Dong, Wotao Yin