Reconstruction of compressed-sensed multiview video with disparity-and motion-compensated total variation minimization
Compressed sensing (CS) is the theory and practice of sub-Nyquist sampling of sparse
signals of interest. Exact reconstruction may then be possible with much fewer than the …
signals of interest. Exact reconstruction may then be possible with much fewer than the …
Disparity-compensated total-variation minimization for compressed-sensed multiview image reconstruction
Y Liu, C Zhang, J Kim - 2015 IEEE International Conference on …, 2015 - ieeexplore.ieee.org
Compressed sensing (CS) is the theory and practice of sub-Nyquist sampling of sparse
signals of interest. Perfect reconstruction may then be possible with much fewer than the …
signals of interest. Perfect reconstruction may then be possible with much fewer than the …
Decoding of framewise compressed-sensed video via interframe total variation minimization
Compressed sensing is the theory and practice of sub-Nyquist sampling of sparse signals of
interest. Perfect reconstruction may then be possible with significantly fewer than the Nyquist …
interest. Perfect reconstruction may then be possible with significantly fewer than the Nyquist …
Motion-aware decoding of compressed-sensed video
Compressed sensing is the theory and practice of sub-Nyquist sampling of sparse signals of
interest. Perfect reconstruction may then be possible with much fewer than the Nyquist …
interest. Perfect reconstruction may then be possible with much fewer than the Nyquist …
Robust joint reconstruction in compressed multi-view imaging
The newly emerging sampling methodology of compressed sensing opens a door to obtain
compressed data directly. How to efficiently reconstruct the original signal from the …
compressed data directly. How to efficiently reconstruct the original signal from the …
Compressed multi-view imaging with joint reconstruction
C Fu, X Ji, Q Dai - 2011 Data Compression Conference (DCC), 2011 - computer.org
The newly emerging sampling methodology of compressed sensing opens a door to obtain
compressed data directly. How to efficiently reconstruct the original signal from the …
compressed data directly. How to efficiently reconstruct the original signal from the …
Video compressed sensing reconstruction based on structural group sparsity and successive approximation estimation model
J Chen, Z Chen, K Su, Z Peng, N Ling - Journal of Visual Communication …, 2020 - Elsevier
The existing video compressed sensing (CS) algorithms for inconsistent sampling ignore the
joint correlations of video signals in space and time, and their reconstruction quality and …
joint correlations of video signals in space and time, and their reconstruction quality and …
Compressed-sensing recovery of multiview image and video sequences using signal prediction
In the compressed sensing of multiview images and video sequences, signal prediction is
incorporated into the reconstruction process in order to exploit the high degree of interview …
incorporated into the reconstruction process in order to exploit the high degree of interview …
Reconstruction of multi-view compressed imaging using weighted total variation
K Chang, T Qin, W Xu, Z Tang - Multimedia systems, 2014 - Springer
This paper concentrates on the problem of image reconstruction from compressed sensing
(CS) measurements in multi-view compressed imaging systems, where each view is …
(CS) measurements in multi-view compressed imaging systems, where each view is …
Maximum frame rate video acquisition using adaptive compressed sensing
Z Liu, AY Elezzabi, HV Zhao - IEEE Transactions on Circuits …, 2011 - ieeexplore.ieee.org
Compressed sensing is a novel technology to acquire and reconstruct sparse signals below
the Nyquist rate. It has great potential in image and video acquisition to explore data …
the Nyquist rate. It has great potential in image and video acquisition to explore data …