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ICIP
2009
IEEE
14 years 7 months ago
Directionally adaptive super-resolution
In this paper a novel direction adaptive super-resolution (SR) image reconstruction method is proposed. The proposed maximum a-posteriori (MAP) based estimator uses gradient direc...
Emre Turgay, Gozde Bozdagi Akar
CORR
2011
Springer
282views Education» more  CORR 2011»
14 years 4 months 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
ECCV
2008
Springer
15 years 11 months ago
Compressive Sensing for Background Subtraction
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
Volkan Cevher, Aswin C. Sankaranarayanan, Marco F....
SIAMIS
2008
141views more  SIAMIS 2008»
14 years 9 months ago
A Nonlinear Inverse Scale Space Method for a Convex Multiplicative Noise Model
We are motivated by a recently developed nonlinear inverse scale space method for image denoising [5, 6], whereby noise can be removed with minimal degradation. The additive noise ...
Jianing Shi, Stanley Osher
ECCV
2006
Springer
15 years 1 months ago
Alias-Free Interpolation
In this paper we study the exact super-resolvability of a scene from a single observation by designing a partial alias-free interpolation scheme. We generate the unknown high freq...
C. V. Jiji, Prakash Neethu, Subhasis Chaudhuri