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» Learning Iterative Image Reconstruction
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ICIP
2003
IEEE
15 years 11 months ago
Redundant representation with complex wavelets: how to achieve sparsity
Overcomplete transforms, like the Dual-Tree Complex Wavelet Transform, offer more flexible signal representations than critically-sampled transforms, due to their properties of sh...
Nick G. Kingsbury, Tanya Reeves
DCC
2010
IEEE
15 years 4 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
ISBI
2004
IEEE
15 years 10 months ago
Image-Quality Assessment in Optical Tomography
Modern medical imaging systems often rely on complicated hardware and sophisticated algorithms to produce useful digital images. It is essential that the imaging hardware and any ...
Matthew A. Kupinski, Eric Clarkson
CVPR
2007
IEEE
15 years 11 months ago
Semi-supervised Hierarchical Models for 3D Human Pose Reconstruction
Recent research in visual inference from monocular images has shown that discriminatively trained image-based predictors can provide fast, automatic qualitative 3D reconstructions...
Atul Kanaujia, Cristian Sminchisescu, Dimitris N. ...
WCE
2007
14 years 11 months ago
Further Improvement of Super-Resolution Reconstruction
— We propose a novel approach to improve further the quality of recovered images from standard super-resolution reconstruction, using Lewitt’s Kaiser-Bessel window functions (b...
Edward Y. T. Ho, Andrew Todd-Pokropek