5.5.7.3.3 Compressive Sensing, Compressive Imaging, Compression, Reconstruction

Chapter Contents (Back)
Compressive Sensing. See also Other Space Variant Sensors and Models. signals having sparse representations in some basis can be represented by with a few random projections of the signals.

Donoho, D.L.,
Compressed sensing,
IT(52), No. 4, 2006, pp. 1289-1306. BibRef 0600

Babacan, S.D., Molina, R., Katsaggelos, A.K.,
Bayesian Compressive Sensing Using Laplace Priors,
IP(19), No. 1, January 2010, pp. 53-63.
IEEE DOI Link 1001
See also Blind Deconvolution Using a Variational Approach to Parameter, Image, and Blur Estimation. See also Variational Bayesian Blind Deconvolution Using a Total Variation Prior. BibRef

Babacan, S.D.[S. Derin], Ansorge, R.[Reto], Luessi, M.[Martin], Molina, R.[Rafael], Katsaggelos, A.K.[Aggelos K.],
Compressive sensing of light fields,
ICIP09(2337-2340).
IEEE DOI Link 0911
BibRef

He, L., Chen, H., Carin, L.,
Tree-Structured Compressive Sensing With Variational Bayesian Analysis,
SPLetters(17), No. 1, January 2010, pp. 233-236.
IEEE DOI Link 1001
BibRef

Romberg, J.K.[Justin K.],
Compressive Sensing By Random Convolution,
SIIMS(2), No. 4, 2009, pp. 1098-1128.
WWW Version.
WWW Version. 1002
compressive sensing; random matrices; L_1 regularization BibRef

Muise, R.[Robert],
Compressive Imaging: An Application,
SIIMS(2), No. 4, 2009, pp. 1255-1276.
WWW Version.
WWW Version. 1002
compressive imaging; persistent surveillance; image multiplexing Field of view imaging, field of regard imaging. Limit the area to process to improve times. BibRef

Han, B.[Bing], Wu, F.[Feng], Wu, D.P.[Da-Peng],
Image representation by compressive sensing for visual sensor networks,
JVCIR(21), No. 4, May 2010, pp. 325-333.
Elsevier DOI Link
WWW Version. 1006
BibRef
Earlier:
Image representation by compressed sensing,
ICIP08(1344-1347).
IEEE DOI Link 0810
Image representation; Compressive sensing; Random sampling; Projection onto convex sets; Convex optimization; Image decomposition; Interpolation; Image reconstruction BibRef

Baraniuk, R.G., Candes, E., Elad, M., Ma, Y.,
Applications of Sparse Representation and Compressive Sensing,
PIEEE(98), No. 6, June 2010, pp. 906-909.
IEEE DOI Link 1006
BibRef

Baraniuk, R.G.[Richard G.], Cevher, V., Wakin, M.B.[Michael B.],
Low-Dimensional Models for Dimensionality Reduction and Signal Recovery: A Geometric Perspective,
PIEEE(98), No. 6, June 2010, pp. 959-971.
IEEE DOI Link 1006
BibRef

Duarte, M.F.[Marco F.], Davenport, M.A.[Mark A.], Wakin, M.B.[Michael B.], Laska, J.N.[Jason N.], Takhar, D.[Dharmpal], Kelly, K.F.[Kevin F.], Baraniuk, R.G.[Richard G.],
Multiscale Random Projections for Compressive Classification,
ICIP07(VI: 161-164).
IEEE DOI Link 0709
BibRef

Wakin, M.B., Laska, J.N., Duarte, M.F., Baron, D., Sarvotham, S., Takhar, D., Kelly, K.F., Baraniuk, R.G.,
An Architecture for Compressive Imaging,
ICIP06(1273-1276).
IEEE DOI Link 0610
BibRef

Duarte, M.F., Baraniuk, R.G.,
Kronecker Compressive Sensing,
IP(21), No. 2, February 2012, pp. 494-504.
IEEE DOI Link 1201
BibRef

Elad, M., Figueiredo, M.A.T., Ma, Y.,
On the Role of Sparse and Redundant Representations in Image Processing,
PIEEE(98), No. 6, June 2010, pp. 972-982.
IEEE DOI Link 1006
BibRef

Fadili, M.J., Starck, J.L., Bobin, J., Moudden, Y.,
Image Decomposition and Separation Using Sparse Representations: An Overview,
PIEEE(98), No. 6, June 2010, pp. 983-994.
IEEE DOI Link 1006
BibRef

Jacques, L.[Laurent], Hammond, D.K.[David Kenric], Fadili, M.J.[M. Jalal],
Weighted fidelity in non-uniformly quantized compressed sensing,
ICIP11(1921-1924).
IEEE DOI Link 1201
BibRef
Earlier:
De-Quantizing Compressed Sensing with non-Gaussian constraints,
ICIP09(1465-1468).
IEEE DOI Link 0911
BibRef

Bobin, J., Candes, E.J.,
A fast and accurate first-order algorithm for compressed sensing,
ICIP09(1457-1460).
IEEE DOI Link 0911
BibRef

Bajwa, W.U., Haupt, J., Sayeed, A.M., Nowak, R.,
Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels,
PIEEE(98), No. 6, June 2010, pp. 1058-1076.
IEEE DOI Link 1006
BibRef

Yang, A.Y., Gastpar, M., Bajcsy, R., Sastry, S.S.,
Distributed Sensor Perception via Sparse Representation,
PIEEE(98), No. 6, June 2010, pp. 1077-1088.
IEEE DOI Link 1006
BibRef

Robucci, R., Gray, J.D., Chiu, L.K., Romberg, J., Hasler, P.,
Compressive Sensing on a CMOS Separable-Transform Image Sensor,
PIEEE(98), No. 6, June 2010, pp. 1089-1101.
IEEE DOI Link 1006
BibRef

Yu, L., Barbot, J.P., Zheng, G., Sun, H.,
Compressive Sensing With Chaotic Sequence,
SPLetters(17), No. 8, August 2010, pp. 731-734.
IEEE DOI Link 1007
BibRef

Fannjiang, A.C.[Albert C.], Strohmer, T.[Thomas], Yan, P.C.[Peng-Chong],
Compressed Remote Sensing Of Sparse Objects,
SIIMS(3), No. 3, 2010, pp. 595-618.
WWW Version.
WWW Version. compressed sensing; incoherence; threshold aperture; Rayleigh resolution; random sensor array BibRef 1000

Wang, Y.L.[Yi-Lun], Yin, W.T.[Wo-Tao],
Sparse Signal Reconstruction Via Iterative Support Detection,
SIIMS(3), No. 3, 2010, pp. 462-491.
WWW Version.
WWW Version. compressed sensing; L_1 minimization; iterative support detection; basis pursuit BibRef 1000

Veeraraghavan, A.[Ashok], Reddy, D.[Dikpal], Raskar, R.[Ramesh],
Coded Strobing Photography: Compressive Sensing of High Speed Periodic Videos,
PAMI(33), No. 4, April 2011, pp. 671-686.
IEEE DOI Link 1103
via temporal modulation, capture high-speed video beyond capability of low-frame-rate camera. Strobe coded projections. BibRef

Reddy, D.[Dikpal], Veeraraghavan, A.[Ashok], Chellappa, R.[Rama],
P2C2: Programmable pixel compressive camera for high speed imaging,
CVPR11(329-336).
IEEE DOI Link 1106
BibRef

Asif, M.S.[M. Salman], Reddy, D.[Dikpal], Boufounos, P.T.[Petros T.], Veeraraghavan, A.[Ashok],
Streaming Compressive Sensing for high-speed periodic videos,
ICIP10(3373-3376).
IEEE DOI Link 1009
BibRef

Edwards, J.,
Focus on Compressive Sensing,
SPMag(28), No. 2, 2011, pp. 11-13.
IEEE DOI Link 1103
Special Reports. Brief survey. BibRef

Ashok, A.[Amit], Neifeld, M.A.[Mark A.],
Compressive imaging: hybrid measurement basis design,
JOSA-A(28), No. 6, June 2011, pp. 1041-1050.
WWW Version. 1101
BibRef

Ni, K.Y.[Kang-Yu], Datta, S.[Somantika], Mahanti, P.[Prasun], Roudenko, S.[Svetlana], Cochran, D.[Douglas],
Efficient Deterministic Compressed Sensing for Images with Chirps and Reed-Muller Codes,
SIIMS(4), No. 3, 2011, pp. 931-953.
WWW Version. 1110
BibRef

Li, B.[Bo], Shen, Y.[Yi], Li, J.[Jia],
Dictionaries Construction Using Alternating Projection Method in Compressive Sensing,
SPLetters(18), No. 11, November 2011, pp. 663-666.
IEEE DOI Link 1112
BibRef

Chen, W., Rodrigues, M.R.D., Wassell, I.J.,
On the Use of Unit-Norm Tight Frames to Improve the Average MSE Performance in Compressive Sensing Applications,
SPLetters(19), No. 1, January 2012, pp. 8-11.
IEEE DOI Link 1112
BibRef

Abou Saleh, A., Chan, W.Y., Alajaji, F.,
Compressed Sensing With Nonlinear Analog Mapping in a Noisy Environment,
SPLetters(19), No. 1, January 2012, pp. 39-42.
IEEE DOI Link 1112
BibRef

Yang, Z., Zhang, C., Xie, L.,
On Phase Transition of Compressed Sensing in the Complex Domain,
SPLetters(19), No. 1, January 2012, pp. 47-50.
IEEE DOI Link 1112
BibRef

Wu, X., Dong, W., Zhang, X., Shi, G.,
Model-Assisted Adaptive Recovery of Compressed Sensing with Imaging Applications,
IP(21), No. 2, February 2012, pp. 451-458.
IEEE DOI Link 1201
BibRef

Hong, S.[Seokbeom], Park, H.[Hosung], Shin, B.[Beomkyu], No, J.S.[Jong-Seon], Chung, H.[Habong],
A New Performance Measure Using k -Set Correlation for Compressed Sensing Matrices,
SPLetters(19), No. 3, March 2012, pp. 143-146.
IEEE DOI Link 1202
BibRef

Fannjiang, A.[Albert], Liao, W.J.[Wen-Jing],
Coherence Pattern-Guided Compressive Sensing with Unresolved Grids,
SIIMS(5), No. 1 2012, pp. 179.
WWW Version. 1203
BibRef

Fu, C., Ji, X., Dai, Q.,
Adaptive Compressed Sensing Recovery Utilizing the Property of Signal's Autocorrelations,
IP(21), No. 5, May 2012, pp. 2369-2378.
IEEE DOI Link 1204
BibRef

Wang, L., Wu, X., Shi, G.,
Binned Progressive Quantization for Compressive Sensing,
IP(21), No. 6, June 2012, pp. 2980-2990.
IEEE DOI Link 1202
BibRef

Zou, J., Fu, Y., Xie, S.,
A Block Fixed Point Continuation Algorithm for Block-Sparse Reconstruction,
SPLetters(19), No. 6, June 2012, pp. 364-367.
IEEE DOI Link 1202
BibRef


Kumar, N.R., Xiang, W.[Wei], Soar, J.,
A Novel Image Compressive Sensing Method Based on Complex Measurements,
DICTA11(175-179).
IEEE DOI Link 1205
BibRef

Papandreou, G.[George], Yuille, A.L.[Alan L.],
Efficient variational inference in large-scale Bayesian compressed sensing,
ITCVPR11(1332-1339).
IEEE DOI Link 1201
BibRef

Shu, X.B.[Xian-Biao], Ahuja, N.[Narendra],
Imaging via three-dimensional compressive sampling (3DCS),
ICCV11(439-446).
IEEE DOI Link 1201
I.e. sample below Nyquist rate. A lot of theory, but no camera yet. BibRef

Le Montagner, Y.[Yoann], Marim, M.[Marcio], Angelini, E.[Elsa], Olivo-Marin, J.C.[Jean-Christophe],
Numerical evaluation of sampling bounds for near-optimal reconstruction in compressed sensing,
ICIP11(3073-3076).
IEEE DOI Link 1201
BibRef

Li, B.[Bin], Zhu, X.[Xuqi], Liu, Y.[Yu], Zhang, L.[Lin],
An unequally protected Distributed Compressed Video Sensing algorithm,
VCIP11(1-4).
IEEE DOI Link 1201
BibRef

Zhang, Z.[Zhen], Shi, Y.[Yunhui], Yin, B.C.[Bao-Cai],
Compressive sensing image recovery based on equalization quantization noise model,
VCIP11(1-4).
IEEE DOI Link 1201
BibRef

Lee, H.K.[Hyung-Keuk], Oh, H.[Heeseok], Lee, S.H.[Sang-Hoon],
A new block compressive sensing to control the number of measurements,
ICIP11(2713-2716).
IEEE DOI Link 1201
BibRef

Huang, H.L.[Hong-Lin], Makur, A., Venkatraman, D.,
Video object error coding method based on compressive sensing,
ICARCV08(1287-1291).
IEEE DOI Link 1109
BibRef

Xiao, L.[Liang], Shao, J.[Jun], Huang, L.[Lili], Wei, Z.H.[Zhi-Hui],
Compounded Regularization and Fast Algorithm for Compressive Sensing Deconvolution,
ICIG11(616-621).
IEEE DOI Link 1109
BibRef

Lin, X.F.[Xiao-Fen], Lu, G.[Gang], Yan, J.W.[Jing-Wen], Lin, W.[Wei],
Measurement Matrix of Compressive Sensing Based on Gram-Schmidt Orthogonalization,
ICIG11(205-210).
IEEE DOI Link 1109
BibRef

Ren, Y.M.[Yue-Mei], Zhang, Y.N.[Yang-Ning], Li, Y.[Ying], Huang, J.Y.[Jian-Yu], Hui, J.J.[Jian-Jiang],
A Space Target Recognition Method Based on Compressive Sensing,
ICIG11(582-586).
IEEE DOI Link 1109
BibRef

Borghi, A., Darbon, J., Peyronnet, S., Chan, T.F.[Tony F.], Osher, S.J.[Stanley J.],
A Compressive Sensing Algorithm for Many-Core Architectures,
ISVC10(II: 678-686).
Springer DOI Link 1011
BibRef

Trocan, M.[Maria], Maugey, T.[Thomas], Tramel, E.W.[Eric W.], Fowler, J.E.[James E.], Pesquet-Popescu, B.[Beatrice],
Compressed sensing of multiview images using disparity compensation,
ICIP10(3345-3348).
IEEE DOI Link 1009
BibRef

Zhang, X.[Xin], Lam, E.Y.[Edmund Y.],
Sectional image reconstruction in optical scanning holography using compressed sensing,
ICIP10(3349-3352).
IEEE DOI Link 1009
BibRef

He, Z.X.[Zai-Xing], Ogawa, T.[Takahiro], Haseyama, M.[Miki],
The simplest measurement matrix for compressed sensing of natural images,
ICIP10(4301-4304).
IEEE DOI Link 1009
BibRef

Majumdar, A.[Angshul], Ward, R.K.[Rabab K.],
Compressive color imaging with group-sparsity on analysis prior,
ICIP10(1337-1340).
IEEE DOI Link 1009
BibRef

Shang, F.[Fei], Du, H.[Huiqian], Jia, Y.D.[Yun-De],
Compressive Sampling Recovery for Natural Images,
ICPR10(2206-2209).
IEEE DOI Link 1008
BibRef

Yamamoto, S.[Satoshi], Itakura, Y.[Yasumasa], Sawabe, M.[Masashi],
Precomputed ROMP for light transport acquisition,
PROCAMS10(49-56).
IEEE DOI Link 1006
Compressive sensing. BibRef

Chang, H.S.[Hyun Sung], Weiss, Y.[Yair], Freeman, W.T.[William T.],
Informative sensing of natural images,
ICIP09(3025-3028).
IEEE DOI Link 0911
different random sampling. BibRef

Mun, S.K.[Sung-Kwang], Fowler, J.E.[James E.],
Block compressed sensing of images using directional transforms,
ICIP09(3021-3024).
IEEE DOI Link 0911
BibRef

Patel, V.M.[Vishal M.], Easley, G.R.[Glenn R.], Healy, D.M.[Dennis M.], Chellappa, R.[Rama],
Compressed sensing for Synthetic Aperture Radar imaging,
ICIP09(2141-2144).
IEEE DOI Link 0911
BibRef

Lu, W.[Wei], Vaswani, N.[Namrata],
Modified compressive sensing for real-time dynamic MR imaging,
ICIP09(3045-3048).
IEEE DOI Link 0911
BibRef

Wu, X.L.[Xiao-Lin], Zhang, X.J.[Xiang-Jun],
Compressive-uniform hybrid sensing for image acquisition and communication,
ICIP09(3041-3044).
IEEE DOI Link 0911
BibRef

Wang, T.[Tao], Zhu, Z.G.[Zhi-Gang], Rhody, H.[Harvey],
A smart sensor with hyperspectral/range fovea and panoramic peripheral view,
OTCBVS09(98-105).
IEEE DOI Link 0906
BibRef

Wan, T.[Tao], Canagarajah, N.[Nishan], Achim, A.[Alin],
Compressive image fusion,
ICIP08(1308-1311).
IEEE DOI Link 0810
Sampling pattern. BibRef

Patel, V.M.[Vishal M.], Easley, G.R.[Glenn R.], Chellappa, R.[Rama], Healy, D.M.[Dennis M.],
Enhancing sparsity using gradients for compressive sensing,
ICIP09(3033-3036).
IEEE DOI Link 0911
BibRef

Hyder, M.M.[M. Mashud], Mahata, K.[Kaushik],
A fast decoder for Compressed Sensing based multiple description image coding,
ICIP09(2125-2128).
IEEE DOI Link 0911
BibRef

Schulz, A.[Adriana], Velho, L.[Luiz], da Silva, E.A.B.[Eduardo A.B.],
On the empirical rate-distortion performance of Compressive Sensing,
ICIP09(3049-3052).
IEEE DOI Link 0911
BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Matching Pursuits, Video Coding .


Last update:May 16, 2012 at 20:31:07