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» Sparse Gradient Image Reconstruction Done Faster
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ICIP
2007
IEEE
13 years 11 months ago
Sparse Gradient Image Reconstruction Done Faster
In a wide variety of imaging applications (especially medical imaging), we obtain a partial set or subset of the Fourier transform of an image. From these Fourier measurements, we...
Ray Maleh, Anna C. Gilbert, Martin J. Strauss
ICIP
2010
IEEE
13 years 2 months ago
Gradient projection for linearly constrained convex optimization in sparse signal recovery
The 2- 1 compressed sensing minimization problem can be solved efficiently by gradient projection. In imaging applications, the signal of interest corresponds to nonnegative pixel...
Zachary T. Harmany, Daniel Thompson, Rebecca Wille...
IVC
2007
95views more  IVC 2007»
13 years 4 months ago
Models from image triplets using epipolar gradient features
In an application where sparse matching of feature points is used towards fast scene reconstruction, the choice of the type of features to be matched has an important impact on th...
Étienne Vincent, Robert Laganière
SIAMIS
2011
12 years 11 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
CVPR
2010
IEEE
14 years 1 months ago
A Content-Aware Image Prior
In image restoration tasks, a heavy-tailed gradient distribution of natural images has been extensively exploited as an image prior. Most image restoration algorithms impose a spa...
Taeg Sang Cho, Neel Joshi, Larry Zitnick, Sing Bin...