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» Image representation by compressed sensing
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ICISP
2010
Springer
15 years 9 months ago
Total Variation Minimization with Separable Sensing Operator
Compressed Imaging is the theory that studies the problem of image recovery from an under-determined system of linear measurements. One of the most popular methods in this field i...
Serge L. Shishkin, Hongcheng Wang, Gregory S. Hage...
ICMCS
2007
IEEE
211views Multimedia» more  ICMCS 2007»
16 years 8 days ago
Context-Based Scalable Coding and Representation of High Resolution Art Pictures for Remote Data Access
EROS is the largest database in the world of high resolution art pictures. The TSAR project is designed to open it in a secure, efficient and user-friendly way that involves cryp...
Marie Babel, Olivier Déforges, Laurent B&ea...
ICIP
2005
IEEE
16 years 7 months ago
Processing of textured surfaces represented as surfel sets: representation, compression and geodesic paths
A method for representation and lossy compression of textured surfaces is presented. The input surfaces are represented by surfels (surface elements), i.e., by a set of colored, o...
Tal Darom, Mauro R. Ruggeri, Dietmar Saupe, Nahum ...
ICASSP
2008
IEEE
16 years 13 days ago
Compressive coded aperture superresolution image reconstruction
Recent work in the emerging field of compressive sensing indicates that, when feasible, judicious selection of the type of distortion induced by measurement systems may dramatica...
Roummel F. Marcia, Rebecca Willett
ICASSP
2011
IEEE
14 years 9 months ago
Snapshot spectral imaging via compressive random convolution
Spectral imaging is of interest in many applications, including wide-area airborne surveillance, remote sensing, and tissue spectroscopy. Coded aperture spectral snapshot imaging ...
Yao Wu, Gonzalo R. Arce