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ICASSP
2010
IEEE
14 years 11 months ago
Compressive sensing and differential image-motion estimation
Compressive-sensing cameras are an important new class of sensors that have different design constraints than standard cameras. Surprisingly, little work has explored the relation...
Nathan Jacobs, S. Schuh, Robert Pless
ICASSP
2009
IEEE
15 years 6 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
ICASSP
2011
IEEE
14 years 2 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
ICIP
2008
IEEE
16 years 27 days ago
Nonconvex compressive sensing and reconstruction of gradient-sparse images: Random vs. tomographic Fourier sampling
Previous compressive sensing papers have considered the example of recovering an image with sparse gradient from a surprisingly small number of samples of its Fourier transform. T...
Rick Chartrand
CVPR
2008
IEEE
16 years 1 months ago
An efficient algorithm for compressed MR imaging using total variation and wavelets
Compressed sensing, an emerging multidisciplinary field involving mathematics, probability, optimization, and signal processing, focuses on reconstructing an unknown signal from a...
Shiqian Ma, Wotao Yin, Yin Zhang, Amit Chakraborty