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» Image Reconstruction by Linear Programming
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CVPR
2005
IEEE
16 years 4 months ago
Higher Order Whitening of Natural Images
Natural images are approximately scale invariant resulting in long range statistical regularities that typically obey a power law. For example, images have considerable regularity...
Joshua Gluckman
117
Voted
MVA
2000
273views Computer Vision» more  MVA 2000»
15 years 2 months ago
A compact algorithm for rectification of stereo pairs
We present a linear rectification algorithm for general, unconstrained stereo rigs. The algorithm takes the two perspective projection matrices of the original cameras, and compute...
Andrea Fusiello, Emanuele Trucco, Alessandro Verri
SIAMIS
2011
14 years 9 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
111
Voted
CVPR
2008
IEEE
16 years 4 months ago
Image decomposition into structure and texture subcomponents with multifrequency modulation constraints
Texture information in images is coupled with geometric macrostructures and piecewise-smooth intensity variations. Decomposing an image f into a geometric structure component u an...
Georgios Evangelopoulos, Petros Maragos
118
Voted
TIP
2010
112views more  TIP 2010»
15 years 29 days ago
Variable Density Compressed Image Sampling
Compressed sensing (CS) provides an efficient way to acquire and reconstruct natural images from a reduced number of linear projection measurements at sub-Nyquist sampling rates....
Zhongmin Wang, Gonzalo R. Arce