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» Sparse Image Reconstruction using Sparse Priors
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133
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ISBI
2004
IEEE
16 years 4 months ago
Level Set Methods for Dynamic Tomography
In this paper, we propose a novel variational framework for the reconstruction of dynamic objects from sparse and noisy tomographic data. Using an object-based scene model, we dev...
Yonggang Shi, William Clement Karl
ICASSP
2011
IEEE
14 years 7 months ago
A clustering based framework for dictionary block structure identification
Sparse representations over redundant dictionaries offer an efficient paradigm for signal representation. Recently block-sparsity has been put forward as a prior condition for so...
Ender M. Eksioglu
TSP
2008
106views more  TSP 2008»
15 years 3 months ago
Identification of Matrices Having a Sparse Representation
We consider the problem of recovering a matrix from its action on a known vector in the setting where the matrix can be represented efficiently in a known matrix dictionary. Conne...
Götz E. Pfander, Holger Rauhut, Jared Tanner
ICIP
2010
IEEE
15 years 1 months ago
Total subset variation prior
We propose total subset variation (TSV), a convexity preserving generalization of the total variation (TV) prior, for higher order clique MRF. A proposed differentiable approximat...
Sanjeev Kumar, Truong Q. Nguyen
118
Voted
ICIP
2005
IEEE
16 years 5 months ago
Direct filtering method for image based rendering
Image based rendering (IBR) is basically a light ray resampling method for generating a novel image without aliasing artifacts from a given set of sampled light rays. To avoid alia...
Akira Kubota, Kiyoharu Aizawa, Tsuhan Chen