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» Adaptive Image Reconstruction Using Information Measures
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ICIP
2009
IEEE
13 years 5 months ago
Informative sensing of natural images
The theory of compressed sensing tells a dramatic story that sparse signals can be reconstructed near-perfectly from a small number of random measurements. However, recent work ha...
Hyun Sung Chang, Yair Weiss, William T. Freeman
IEEECGIV
2009
IEEE
13 years 5 months ago
Nonlinear Image Interpolation Using Adaptive Conic Blending Spline
Abstract--A new adaptive rational image interpolation algorithm is proposed. For a natural image, according to the difference information of the local pixel gray value in the verti...
Huanxi Zhao, Chuan Sun, Keshou Wu
ICASSP
2011
IEEE
12 years 11 months ago
Efficient image reconstruction under sparsity constraints with application to MRI and bioluminescence tomography
Most bioimaging modalities rely on indirect measurements of the quantity under investigation. The image is obtained as the result of an optimization problem involving a physical m...
Matthieu Guerquin-Kern, Jean-Charles Baritaux, Mic...
SCALESPACE
2005
Springer
14 years 28 days ago
On Image Reconstruction from Multiscale Top Points
Image reconstruction from a fiducial collection of scale space interest points and attributes (e.g. in terms of image derivatives) can be used to make the amount of information co...
Frans Kanters, Martin Lillholm, Remco Duits, Bart ...
IGARSS
2010
13 years 5 months ago
Adapting the sir algorithm to ASCAT
Scatterometers have been launched primarily to measure ocean winds. The value of scatterometer data is increased by application of the SIR (Scatterometer Image Reconstruction) alg...
Richard D. Lindsley, David G. Long