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ICASSP
2011
IEEE
14 years 4 months ago
Dense disparity estimation from linear measurements
This paper proposes a methodology to estimate the correlation model between a pair of images that are given under the form of linear measurements. We consider an image pair whose ...
Vijayaraghavan Thirumalai, Pascal Frossard
109
Voted
CISS
2008
IEEE
15 years 7 months ago
Reconstruction of compressively sensed images via neurally plausible local competitive algorithms
Abstract—We develop neurally plausible local competitive algorithms (LCAs) for reconstructing compressively sensed images. Reconstruction requires solving a sparse approximation ...
Robert L. Ortman, Christopher J. Rozell, Don H. Jo...
100
Voted
ICASSP
2009
IEEE
15 years 7 months ago
Real-time dynamic MR image reconstruction using Kalman Filtered Compressed Sensing
In recent work, Kalman Filtered Compressed Sensing (KF-CS) was proposed to causally reconstruct time sequences of sparse signals, from a limited number of “incoherent” measure...
Chenlu Qiu, Wei Lu, Namrata Vaswani
110
Voted
CORR
2008
Springer
177views Education» more  CORR 2008»
15 years 27 days ago
Toeplitz Block Matrices in Compressed Sensing
: This paper addresses the problem of reconstructing an image from 1-bit-quantized measurements, considering a simple but nonconventional optical acquisition model. Following a com...
Florian Sebert, Leslie Ying, Yi Ming Zou
106
Voted
DCC
2010
IEEE
15 years 7 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