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» An Architecture for Compressive Imaging
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129
Voted
ICIP
2008
IEEE
15 years 7 months ago
Compressed sensing for multi-view tracking and 3-D voxel reconstruction
Compressed sensing(CS) suggests that a signal, sparse in some basis, can be recovered from a small number of random projections. In this paper, we apply the CS theory on sparse ba...
Dikpal Reddy, Aswin C. Sankaranarayanan, Volkan Ce...
110
Voted
CORR
2008
Springer
177views Education» more  CORR 2008»
15 years 24 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
104
Voted
ICCV
1999
IEEE
16 years 2 months ago
Appearance Compression and Synthesis based on 3D Model for Mixed Reality
Rendering photorealistic virtual objects from their real images is one of the main research issues in mixed reality systems. We previously proposed the Eigen-Texture method, a new...
Ko Nishino, Yoichi Sato, Katsushi Ikeuchi
109
Voted
ICIP
2006
IEEE
16 years 2 months ago
Lossy-To-Lossless Block-Based Compression of Hyperspectral Volumetric Data
An embedded, block-based, wavelet transform coding algorithm of low complexity is proposed. Three-Dimensional Set Partitioned Embedded bloCK(3D-SPECK) efficiently encodes hyperspe...
Xiaoli Tang, William A. Pearlman
ICASSP
2011
IEEE
14 years 4 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,...