4.9.2.1 Light Field Compressed Sensing

Chapter Contents (Back)
Light Field. Compressive Sensing. See also Compressive Sensing, Compressive Imaging, Compressed Sensing, Compression, Reconstruction. 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 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], Mataran, P.R., Molina, R.[Rafael], Katsaggelos, A.K.[Aggelos K.],
Compressive Light Field Sensing,
IP(21), No. 12, December 2012, pp. 4746-4757.
IEEE DOI 1212
BibRef
Earlier: A1, A3, A3, A5, A6, Only:
Compressive sensing of light fields,
ICIP09(2337-2340).
IEEE DOI 0911
BibRef

Kodama, K., Kubota, A.,
Efficient Reconstruction of All-in-Focus Images Through Shifted Pinholes From Multi-Focus Images for Dense Light Field Synthesis and Rendering,
IP(22), No. 11, 2013, pp. 4407-4421.
IEEE DOI 1310
Image reconstruction BibRef

Fujii, H.[Hiroyoshi], Kodama, K.[Kazuya], Hamamoto, T.[Takayuki],
Scene flow estimation through 3D analysis of multi-focus images,
VCIP16(1-4)
IEEE DOI 1701
Cameras BibRef

Sakamoto, T.[Takashi], Kodama, K.[Kazuya], Hamamoto, T.[Takayuki],
A novel scheme for 4-D Light-Field compression based on 3-D representation by multi-focus images,
ICIP12(2901-2904).
IEEE DOI 1302
BibRef
Earlier:
A study on efficient compression of multi-focus images for dense Light-Field reconstruction,
VCIP12(1-6).
IEEE DOI 1302
BibRef

Tsiligianni, E., Kondi, L.P.[Lisimachos P.], Katsaggelos, A.K.[Aggelos K.],
Preconditioning for Underdetermined Linear Systems with Sparse Solutions,
SPLetters(22), No. 9, September 2015, pp. 1239-1243.
IEEE DOI 1503
compressed sensing BibRef

Li, Y., Sjöström, M., Olsson, R., Jennehag, U.,
Coding of Focused Plenoptic Contents by Displacement Intra Prediction,
CirSysVideo(26), No. 7, July 2016, pp. 1308-1319.
IEEE DOI 1608
data compression BibRef

Chen, J.[Jie], Chau, L.P.[Lap-Pui],
Light Field Compressed Sensing Over a Disparity-Aware Dictionary,
CirSysVideo(27), No. 4, April 2017, pp. 855-865.
IEEE DOI 1704
Apertures BibRef

Yagi, Y.[Yusuke], Takahashi, K.[Keita], Fujii, T.[Toshiaki], Sonoda, T.[Toshiki], Nagahara, H.[Hajime],
Designing Coded Aperture Camera Based on PCA and NMF for Light Field Acquisition,
IEICE(E101-D), No. 9, September 2018, pp. 2190-2200.
WWW Link. 1809
BibRef
Earlier:
PCA-coded aperture for light field photography,
ICIP17(3031-3035)
IEEE DOI 1803
Apertures, Cameras, Compressed sensing, Eigenvalues and eigenfunctions, Image reconstruction, light field BibRef

Takahashi, K., Fujita, S., Fujii, T.,
Good group sparsity prior for light field interpolation,
ICIP17(1447-1451)
IEEE DOI 1803
Discrete Fourier transforms, Encoding, Estimation, Frequency-domain analysis, Interpolation, line structure BibRef

Zhong, R.[Rui], Schiopu, I.[Ionut], Cornelis, B.[Bruno], Lu, S.P.[Shao-Ping], Yuan, J.[Junsong], Munteanu, A.[Adrian],
Dictionary Learning-Based, Directional, and Optimized Prediction for Lenslet Image Coding,
CirSysVideo(29), No. 4, April 2019, pp. 1116-1129.
IEEE DOI 1904
Image coding, Cameras, Lenses, Microoptics, Dictionaries, Encoding, Redundancy, Data compression, image coding and transmission, video codec BibRef

Rizkallah, M., Su, X., Maugey, T., Guillemot, C.,
Geometry-Aware Graph Transforms for Light Field Compact Representation,
IP(29), No. 1, 2020, pp. 602-616.
IEEE DOI 1910
eigenvalues and eigenfunctions, geometry, graph theory, image coding, image representation, matrix algebra, optimisation, graph Fourier transform BibRef

Hawary, F., Guillemot, C., Thoreau, D., Boisson, G.,
Scalable light field compression scheme using sparse reconstruction and restoration,
ICIP17(3250-3254)
IEEE DOI 1803
Decoding, Encoding, Frequency estimation, Image coding, Image reconstruction, Image restoration, HEVC, Light field, SHVC, sparsity BibRef

Hog, M., Sabater, N., Guillemot, C.,
Long Short Term Memory Networks for Light Field View Synthesis,
ICIP19(724-728)
IEEE DOI 1910
Light Field, View Synthesis, Deep Learning BibRef

Zakeri, F.S., Durmush, A., Ziegler, M., Bätz, M., Keinert, J.,
Non-Planar Inside-Out Dense Light-Field Dataset and Reconstruction Pipeline,
ICIP19(1059-1063)
IEEE DOI 1910
Light-field, non-planar, dense dataset, inside-out capture, view rendering BibRef

Ahmad, W., Vagharshakyan, S.[Suren], Sjöström, M., Gotchev, A.[Atanas], Bregovic, R.[Robert], Olsson, R.,
Shearlet Transform-Based Light Field Compression Under Low Bitrates,
IP(29), 2020, pp. 4269-4280.
IEEE DOI 2002
Light field (LF) coding, multiple camera system (MCS) coding, multi-view extension of high-efficiency video coding (MV-HEVC), shearlet BibRef

Marquez, M., Rueda-Chacon, H., Arguello, H.,
Compressive Spectral Light Field Image Reconstruction via Online Tensor Representation,
IP(29), 2020, pp. 3558-3568.
IEEE DOI 2002
Spectral light field, compressive imaging, online tensor representation, tucker decomposition BibRef

Min, X., Zhou, J., Zhai, G., Le Callet, P., Yang, X., Guan, X.,
A Metric for Light Field Reconstruction, Compression, and Display Quality Evaluation,
IP(29), 2020, pp. 3790-3804.
IEEE DOI 2002
Light field imaging, light field processing, quality assessment, quality metric, spatial quality, angular quality BibRef

Rizkallah, M.[Mira], Maugey, T.[Thomas], Guillemot, C.[Christine],
Prediction and Sampling With Local Graph Transforms for Quasi-Lossless Light Field Compression,
IP(29), 2020, pp. 3282-3295.
IEEE DOI 2002
Light fields, energy compaction, transform coding, super-rays, graph Fourier transform, prediction, sampling BibRef

Liu, D., An, P., Ma, R., Zhan, W., Huang, X., Yahya, A.A.,
Content-Based Light Field Image Compression Method With Gaussian Process Regression,
MultMed(22), No. 4, April 2020, pp. 846-859.
IEEE DOI 2004
Image coding, Lenses, Cameras, Microoptics, Prediction methods, Correlation, Gaussian processes, Light field image compression, HEVC BibRef

Chen, Y., An, P., Huang, X., Yang, C., Liu, D., Wu, Q.,
Light Field Compression Using Global Multiplane Representation and Two-Step Prediction,
SPLetters(27), 2020, pp. 1135-1139.
IEEE DOI 2007
Decoding, Image coding, Light fields, Video sequences, Redundancy, Codecs, Cameras, Disparity-based global representation, two-step prediction BibRef


Dib, E., Le Pendu, M., Guillemot, C.,
Light Field Compression Using Fourier Disparity Layers,
ICIP19(3751-3755)
IEEE DOI 1910
BibRef

Farrugia, R.A., Briffa, J.A.,
Lossless Light Field Compression Using 4D Wavelet Transforms,
ICIP19(121-125)
IEEE DOI 1910
4D Wavelet Transform, compression, light fields, lossless coding BibRef

Vagharshakyan, S.[Suren], Bregovic, R.[Robert], Gotchev, A.[Atanas],
Light Field Reconstruction Using Shearlet Transform,
PAMI(40), No. 1, January 2018, pp. 133-147.
IEEE DOI 1712
Cameras, Estimation, Frequency-domain analysis, Image reconstruction, Interpolation, view synthesis BibRef

Gao, Y., Bregovic, R.[Robert], Gotchev, A.[Atanas],
Self-Supervised Light Field Reconstruction Using Shearlet Transform and Cycle Consistency,
SPLetters(27), 2020, pp. 1425-1429.
IEEE DOI 2009
Image reconstruction, Transforms, Training, Agriculture, Light fields, Interpolation, Spatial resolution, cycle consistency BibRef

Gao, Y., Koch, R., Bregovic, R.[Robert], Gotchev, A.[Atanas],
Fast: Flow-Assisted Shearlet Transform for Densely-Sampled Light Field Reconstruction,
ICIP19(3741-3745)
IEEE DOI 1910
Densely-Sampled Light Field Reconstruction, Parallax View Generation, Novel View Synthesis, Flow-Assisted Shearlet Transform BibRef

Hawary, F., Boissoni, G., Guillemot, C., Guillotel, P.,
Compressive 4D Light Field Reconstruction Using Orthogonal Frequency Selection,
ICIP18(3863-3867)
IEEE DOI 1809
Image reconstruction, Matching pursuit algorithms, Mathematical model, Approximation algorithms, Compressed sensing, sparsity BibRef

Zhang, X., Chou, P.A., Sun, M., Tang, M., Wang, S., Ma, S., Gao, W.,
A Framework for Surface Light Field Compression,
ICIP18(2595-2599)
IEEE DOI 1809
Image coding, Cameras, Decoding, Splines (mathematics), Rendering (computer graphics), Transforms, Geometry, AR BibRef

Schiopu, I., Munteanu, A.,
Macro-Pixel Prediction Based on Convolutional Neural Networks for Lossless Compression of Light Field Images,
ICIP18(445-449)
IEEE DOI 1809
Image coding, Codecs, Convolution, Cameras, Context modeling, Lenses, Microoptics, Intra prediction, macro-pixel, CNN-based prediction, light field images BibRef

Bakir, N., Hamidouche, W., Déforges, O., Samrouth, K., Khalil, M.,
Light Field Image Compression Based on Convolutional Neural Networks and Linear Approximation,
ICIP18(1128-1132)
IEEE DOI 1809
Decoding, Image coding, Encoding, Cameras, Linear approximation, Machine learning, Light Field, Machine Learning, future video coding BibRef

Su, J., Yin, W., Shi, Y., Wang, J., Ding, W.,
Collaborative Projection and Reconstruction Using Intrinsic Structure of Compressive Light Field Sensing,
ICIP18(2890-2894)
IEEE DOI 1809
Dictionaries, Image reconstruction, Collaboration, Optimization, Cameras, Sensors, Training, light fields, compressive sensing, structure projection BibRef

Conceição, R., Porto, M., Zatt, B., Agostini, L.,
LF-CAE: Context-Adaptive Encoding for Lenslet Light Fields Using HEVC,
ICIP18(3174-3178)
IEEE DOI 1809
Video sequences, Image coding, Encoding, Cameras, Transform coding, lenslet light field, plenoptic function, image compression, HEVC BibRef

Ahmad, W., Olsson, R., Sjostrom, M.,
Towards a Generic Compression Solution for Densely and Sparsely Sampled Light Field Data,
ICIP18(654-658)
IEEE DOI 1809
Image coding, Cameras, Quantization (signal), Decoding, Mathematical model, Resource management, Standards, Light field, MV-HEVC BibRef

Zhang, W.[Wei], Liu, D.[Dong], Xiong, Z.W.[Zhi-Wei], Xu, J.Z.[Ji-Zheng],
SIFT-based adaptive prediction structure for light field compression,
VCIP17(1-4)
IEEE DOI 1804
Encode like a pseudo-sequence. data compression, feature extraction, image coding, transforms, 2-D hierarchical coding order, Light field image, Scale-invariant feature transform (SIFT) BibRef

Tran, T.H., Baroud, Y., Wang, Z., Simon, S., Taubman, D.,
Light-field image compression based on variational disparity estimation and motion-compensated wavelet decomposition,
ICIP17(3260-3264)
IEEE DOI 1803
Cameras, Encoding, Estimation, Image coding, Kernel, Transform coding, Light-field, compression, wavelet decomposition BibRef

Gupta, M., Jauhari, A., Kulkarni, K., Jayasuriya, S., Molnar, A., Turaga, P.K.,
Compressive Light Field Reconstructions Using Deep Learning,
CCD17(1277-1286)
IEEE DOI 1709
Cameras, Image reconstruction, Machine learning, Network architecture, Spatial resolution, BibRef

Dai, F.[Feng], Zhang, J.[Jun], Ma, Y.[Yike], Zhang, Y.D.[Yong-Dong],
Lenselet image compression scheme based on subaperture images streaming,
ICIP15(4733-4737)
IEEE DOI 1512
image compression BibRef

Miyagi, Y.[Yusuke], Takahashi, K.[Keita], Tehrani, M.P.[Mehrdad Panahpour], Fujii, T.[Toshiaki],
Reconstruction of compressively sampled light fields using a weighted 4D-DCT basis,
ICIP15(502-506)
IEEE DOI 1512
DCT; coded mask; compressive sensing; light field photography BibRef

Yuan, X.[Xin], Llull, P.[Patrick], Liao, X.J.[Xue-Jun], Yang, J.B.[Jian-Bo], Brady, D.J.[David J.], Sapiro, G.[Guillermo], Carin, L.[Lawrence],
Low-Cost Compressive Sensing for Color Video and Depth,
CVPR14(3318-3325)
IEEE DOI 1409
Coded aperature. Anytime; Compressive Sensing; Depth; Video BibRef

Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Light Field Depth Estimation .


Last update:Sep 14, 2020 at 15:32:18