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ICIP
2007
IEEE
14 years 9 months ago
Compressed Sensing Image Reconstruction Via Recursive Spatially Adaptive Filtering
We introduce a new approach to image reconstruction from highly incomplete data. The available data are assumed to be a small collection of spectral coef?cients of an arbitrary li...
Karen O. Egiazarian, Alessandro Foi, Vladimir Katk...
DCC
2010
IEEE
14 years 2 months ago
Block Compressed Sensing of Images Using Directional Transforms
Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously wi...
Sungkwang Mun, James E. Fowler
MVA
2007
186views Computer Vision» more  MVA 2007»
13 years 9 months ago
A Novel Approach of 3D Face Reconstruction Using Ellipse Fitting
The problem of reconstructing the 3D face using one image captured from a viewpoint arises in many fields of science and engineering, this paper propose the novel approach for rec...
Charoenpong Theekapun, Hiroyuki Hase, Shogo Tokai
ICASSP
2011
IEEE
12 years 11 months ago
Combined compressed sensing and parallel mri compared for uniform and random cartesian undersampling of K-space
Both compressed sensing (CS) and parallel imaging effectively reconstruct magnetic resonance images from undersampled data. Combining both methods enables imaging with greater und...
Daniel S. Weller, Jonathan R. Polimeni, Leo Grady,...
ICIP
2008
IEEE
14 years 9 months ago
Spatio-spectral reconstruction of the multispectral datacube using sparse recovery
Multispectral scene information is useful for radiometric graphics, material identification and imaging systems simulation. The multispectral scene can be described as a datacube,...
Manu Parmar, Steven Lansel, Brian A. Wandell