Vector quantization and signal compression
Vector quantization and signal compression
Atomic Decomposition by Basis Pursuit
SIAM Journal on Scientific Computing
An elementary proof of a theorem of Johnson and Lindenstrauss
Random Structures & Algorithms
Database-friendly random projections: Johnson-Lindenstrauss with binary coins
Journal of Computer and System Sciences - Special issu on PODS 2001
Extensions of compressed sensing
Signal Processing - Sparse approximations in signal and image processing
Three-dimensional lifting schemes for motion compensated video compression
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
Model-Guided Adaptive Recovery of Compressive Sensing
DCC '09 Proceedings of the 2009 Data Compression Conference
Joint reconstruction of compressed multi-view images
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Real-time dynamic MR image reconstruction using Kalman Filtered Compressed Sensing
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
CMOS compressed imaging by Random Convolution
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Distributed compressive video sensing
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Sparse reconstruction by separable approximation
IEEE Transactions on Signal Processing
Exploiting structure in wavelet-based Bayesian compressive sensing
IEEE Transactions on Signal Processing
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
SIAM Journal on Imaging Sciences
A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems
SIAM Journal on Imaging Sciences
Distributed video coding using compressive sampling
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
A multiscale framework for compressive sensing of video
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
A manifold lifting algorithm for multi-view compressive imaging
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Compressive Sensing by Random Convolution
SIAM Journal on Imaging Sciences
Image representation by compressive sensing for visual sensor networks
Journal of Visual Communication and Image Representation
International Journal of Imaging Systems and Technology
Distributed compressed video sensing
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Block compressed sensing of images using directional transforms
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Modified compressive sensing for real-time dynamic MR imaging
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Model-based compressive sensing
IEEE Transactions on Information Theory
Bayesian compressive sensing using Laplace priors
IEEE Transactions on Image Processing
LS-CS-residual (LS-CS): compressive sensing on least squares residual
IEEE Transactions on Signal Processing
Modified-CS: modifying compressive sensing for problems with partially known support
IEEE Transactions on Signal Processing
Fast image recovery using variable splitting and constrained optimization
IEEE Transactions on Image Processing
Compressive acquisition of dynamic scenes
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Multi-hypothesis motion compensation for low bit-rate video coding
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: image and multidimensional signal processing - Volume V
Residual Reconstruction for Block-Based Compressed Sensing of Video
DCC '11 Proceedings of the 2011 Data Compression Conference
Video Compressed Sensing with Multihypothesis
DCC '11 Proceedings of the 2011 Data Compression Conference
Progressive Quantization of Compressive Sensing Measurements
DCC '11 Proceedings of the 2011 Data Compression Conference
Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency
IEEE Transactions on Signal Processing
Fast algorithms for the discrete cosine transform
IEEE Transactions on Signal Processing
The theory of bandpass sampling
IEEE Transactions on Signal Processing
Matching pursuits with time-frequency dictionaries
IEEE Transactions on Signal Processing
Embedded image coding using zerotrees of wavelet coefficients
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Decoding by linear programming
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Signal Reconstruction From Noisy Random Projections
IEEE Transactions on Information Theory
Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
IEEE Transactions on Information Theory
Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit
IEEE Transactions on Information Theory
Dequantizing Compressed Sensing: When Oversampling and Non-Gaussian Constraints Combine
IEEE Transactions on Information Theory
De-noising by soft-thresholding
IEEE Transactions on Information Theory
The origins of the sampling theorem
IEEE Communications Magazine
Motion-compensated 3-D subband coding of video
IEEE Transactions on Image Processing
Efficiency analysis of multihypothesis motion-compensated prediction for video coding
IEEE Transactions on Image Processing
Image denoising using scale mixtures of Gaussians in the wavelet domain
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
The contourlet transform: an efficient directional multiresolution image representation
IEEE Transactions on Image Processing
A New TwIST: Two-Step Iterative Shrinkage/Thresholding Algorithms for Image Restoration
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Long-term memory motion-compensated prediction
IEEE Transactions on Circuits and Systems for Video Technology
Bidirectional MC-EZBC with lifting implementation
IEEE Transactions on Circuits and Systems for Video Technology
Structured Compressed Sensing: From Theory to Applications
IEEE Transactions on Signal Processing
IEEE Transactions on Image Processing
Compressive sensing using the modified entropy functional
Digital Signal Processing
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A number of techniques for the compressed sensing of imagery are surveyed. Various imaging media are considered, including still images, motion video, as well as multiview image sets and multiview video. A particular emphasis is placed on block-based compressed sensing due to its advantages in terms of both lightweight reconstruction complexity as well as a reduced memory burden for the random-projection measurement operator. For multiple-image scenarios, including video and multiview imagery, motion and disparity compensation is employed to exploit frame-to-frame redundancies due to object motion and parallax, resulting in residual frames which are more compressible and thus more easily reconstructed from compressed-sensing measurements. Extensive experimental comparisons evaluate various prominent reconstruction algorithms for still-image, motion-video, and multiview scenarios in terms of both reconstruction quality as well as computational complexity.