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.
See also Coded Aperture Compressive Sensing.

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

Wang, Z.[Zhen], Huang, L.[Lan], Kodama, K.[Kazuya],
Robust extension of light fields with probable 3D distribution based on iterative scene estimation from multi-focus images,
SP:IC(111), 2023, pp. 116896.
Elsevier DOI 2301
Multi-focus, Light fields, All-in-focus, Scene reconstruction, Parallel implementation 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.S.[Jun-Song], 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

Dib, E., Le Pendu, M., Jiang, X., Guillemot, C.,
Local Low Rank Approximation With a Parametric Disparity Model for Light Field Compression,
IP(29), 2020, pp. 9641-9653.
IEEE DOI 2011
Image coding, Encoding, Estimation, Solid modeling, Image reconstruction, Computational modeling, low rank models 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

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

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

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.Y.[De-Yang], An, P.[Ping], Ma, R.[Ran], Zhan, W.F.[Wen-Fa], Huang, X.P.[Xin-Peng], Yahya, A.A.[Ali Abdullah],
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

Huang, X.P.[Xin-Peng], An, P.[Ping], Chen, Y.L.[Yi-Lei], Liu, D.[Deyang], Shen, L.Q.[Li-Quan],
Low Bitrate Light Field Compression With Geometry and Content Consistency,
MultMed(24), 2022, pp. 152-165.
IEEE DOI 2202
Image coding, Bit rate, Image reconstruction, Geometry, Encoding, Prediction algorithms, Decoding, Light field compression, consistency 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

Hawary, F.[Fatma], Boisson, G.[Guillaume], Guillemot, C.[Christine], Guillotel, P.[Philippe],
Compressively sampled light field reconstruction using orthogonal frequency selection and refinement,
SP:IC(92), 2021, pp. 116087.
Elsevier DOI 2101
BibRef
Earlier:
Compressive 4D Light Field Reconstruction Using Orthogonal Frequency Selection,
ICIP18(3863-3867)
IEEE DOI 1809
Light fields, Computational photography, Sparse reconstruction, Compressive sensing, Fourier transform, Continuous spectrum. Image reconstruction, Matching pursuit algorithms, Mathematical model, Approximation algorithms, sparsity BibRef

Monteiro, R.J.S.[Ricardo J.S.], Rodrigues, N.M.M.[Nuno M.M.], Faria, S.M.M.[Sérgio M.M.], Nunes, P.J.L.[Paulo J.L.],
Light field image coding with flexible viewpoint scalability and random access,
SP:IC(94), 2021, pp. 116202.
Elsevier DOI 2104
Light field image coding, Viewpoint scalability, Viewpoint random access, HEVC BibRef

Santos, J.M.[João M.], Thomaz, L.A.[Lucas A.], Assuncao, P.A.A.[Pedro A.A.], da Silva Cruz, L.A.[Luís A.], Távora, L.M.N.[Luís M.N.], Faria, S.M.M.[Sérgio M.M.],
Hierarchical lossless coding of light fields with improved random access,
SP:IC(105), 2022, pp. 116687.
Elsevier DOI 2205
Light field compression, Random access, Scalability, Lossless coding, Medical imaging BibRef

Rizkallah, M.[Mira], Maugey, T.[Thomas], Guillemot, C.[Christine],
Rate-Distortion Optimized Graph Coarsening and Partitioning for Light Field Coding,
IP(30), 2021, pp. 5518-5532.
IEEE DOI 2106
Transforms, Image coding, Rate-distortion, Correlation, Encoding, Standards, Distortion, Light fields, compression, graph transforms, graph partitioning BibRef

Bakir, N.[Nader], Hamidouche, W.[Wassim], Fezza, S.A.[Sid Ahmed], Samrouth, K.[Khouloud], Déforges, O.[Olivier],
Light Field Image Coding Using VVC Standard and View Synthesis Based on Dual Discriminator GAN,
MultMed(23), 2021, pp. 2972-2985.
IEEE DOI 2109
Image coding, Encoding, Cameras, Decoding, Transforms, Transform coding, Standards, Coding structure, deep learning, view synthesis BibRef

Wu, G.C.[Gao-Chang], Wang, Y.Q.[Ying-Qian], Liu, Y.B.[Ye-Bin], Fang, L.[Lu], Chai, T.Y.[Tian-You],
Spatial-Angular Attention Network for Light Field Reconstruction,
IP(30), 2021, pp. 8999-9013.
IEEE DOI 2112
Image reconstruction, Estimation, Spatial resolution, Convolution, Task analysis, Feature extraction, attention mechanism BibRef

Liu, B.N.[Bo-Ning], Zhao, Y.[Yan], Jiang, X.M.[Xiao-Meng], Wang, S.G.[Shi-Gang], Wei, J.[Jian],
4D Epanechnikov Mixture Regression in LF Image Compression,
CirSysVideo(32), No. 6, June 2022, pp. 3906-3922.
IEEE DOI 2206
Image coding, Kernel, Image reconstruction, Adaptation models, Transform coding, Prediction algorithms, Video sequences, Kernel method BibRef

Han, K.[Kang], Xiang, W.[Wei],
Inference-Reconstruction Variational Autoencoder for Light Field Image Reconstruction,
IP(31), 2022, pp. 5629-5644.
IEEE DOI 2209
Image reconstruction, Convolution, Superresolution, Spatial resolution, Feature extraction, Cameras, Training, adaptive convolution BibRef

Tateishi, K.[Kohei], Tsutake, C.[Chihiro], Takahashi, K.[Keita], Fujii, T.[Toshiaki],
Time-Multiplexed Coded Aperture and Coded Focal Stack: Comparative Study on Snapshot Compressive Light Field Imaging,
IEICE(E105-D), No. 10, October 2022, pp. 1679-1690.
WWW Link. 2210
BibRef

Gao, S.[Shan], Qu, G.[Gangrong], Sjöström, M.[Mårten], Liu, Y.H.[Yu-Han],
A TV regularisation sparse light field reconstruction model based on guided-filtering,
SP:IC(109), 2022, pp. 116852.
Elsevier DOI 2210
Light field reconstruction, Total variation regularisation, The guided filter BibRef

Huang, X.P.[Xin-Peng], An, P.[Ping], Chen, Y.L.[Yi-Lei], Liu, D.Y.[De-Yang],
Energy-driven reference selection for hierarchical light field compression,
SP:IC(109), 2022, pp. 116849.
Elsevier DOI 2210
Light field, Hierarchical compression, Reference selection, Weight determination, Light field capability BibRef

Ravishankar, J.[Joshitha], Sharma, M.[Mansi],
A novel hierarchical light field coding scheme based on hybrid stacked multiplicative layers and Fourier disparity layers for glasses-free 3D displays,
SP:IC(109), 2022, pp. 116844.
Elsevier DOI 2210
Light field, Lossy compression, Layered 3D displays, Convolutional neural network, Krylov subspace, Fourier disparity layers BibRef

Amirpour, H.[Hadi], Guillemot, C.[Christine], Ghanbari, M.[Mohammad], Timmerer, C.[Christian],
Advanced Scalability for Light Field Image Coding,
IP(31), 2022, pp. 7435-7448.
IEEE DOI 2212
Image coding, Scalability, Spatial resolution, Encoding, Transforms, Redundancy, Transform coding, Light field, compression, scalability, deep learning BibRef

Krivokuca, M.[Maja], Miandji, E.[Ehsan], Guillemot, C.[Christine], Chou, P.A.[Philip A.],
Compression of Plenoptic Point Cloud Attributes Using 6-D Point Clouds and 6-D Transforms,
MultMed(25), 2023, pp. 593-607.
IEEE DOI 2302
Image color analysis, Cameras, Encoding, Rate-distortion, Transform coding, Surface treatment, Light fields, GFT, surface light fields BibRef

Hu, X.J.[Xin-Jue], Pan, Y.X.[Yu-Xuan], Wang, Y.M.[Yu-Mei], Zhang, L.[Lin], Shirmohammadi, S.[Shervin],
Multiple Description Coding for Best-Effort Delivery of Light Field Video Using GNN-Based Compression,
MultMed(25), 2023, pp. 690-705.
IEEE DOI 2303
Streaming media, Encoding, Image coding, Decoding, Packet loss, Spatial resolution, Light field video, graph neural network BibRef

Liu, D.Y.[De-Yang], Huang, Y.[Yan], Fang, Y.M.[Yu-Ming], Zuo, Y.F.[Yi-Fan], An, P.[Ping],
Multi-Stream Dense View Reconstruction Network for Light Field Image Compression,
MultMed(25), 2023, pp. 4400-4414.
IEEE DOI 2310
BibRef

Sun, Y.F.[Yang-Fan], Li, L.[Li], Li, Z.[Zhu], Wang, S.Z.[Shi-Zheng], Liu, S.[Shan], Li, G.[Ge],
Learning a Compact Spatial-Angular Representation for Light Field,
MultMed(25), 2023, pp. 7262-7273.
IEEE DOI 2311
BibRef

Mukati, M.U.[M. Umair], Zhang, X.[Xi], Wu, X.L.[Xiao-Lin], Forchhammer, S.[Søren],
Low-complexity L_inf-compression of light field images with a deep-decompression stage,
JVCIR(99), 2024, pp. 104072.
Elsevier DOI 2403
Light field decorrelation, High fidelity compression, Near-lossless encoding, Deep soft decompression, Compression artifacts removal BibRef


Jin, P.[Panqi], Jiang, G.Y.[Gang-Yi], Chen, Y.[Yeyao], Jiang, Z.[Zhidi], Yu, M.[Mei],
Perceptual Light Field Image Coding with CTU Level Bit Allocation,
CAIP23(II:255-264).
Springer DOI 2312
BibRef

Ravishankar, J.[Joshitha], Khaidem, S.[Sally], Sharma, M.[Mansi],
A Data-Driven Approach based on Dynamic Mode Decomposition for Efficient Encoding of Dynamic Light Fields,
LightField23(3447-3453)
IEEE DOI 2309
BibRef

Gao, Y.B.[Yan-Bo], Li, S.[Shuai], Zhu, C.[Ce],
Light Field Integral Image Coding Optimization under 2D Hierarchical Coding Structure,
ICIP22(831-835)
IEEE DOI 2211
Photography, Image coding, Costs, Rate-distortion, Minimization, Distortion, Light field integral image, HEVC, rate-distortion optimization BibRef

Duong, V.V.[Vinh Van], Huu, T.N.[Thuc Nguyen], Yim, J.[Jonghoon], Jeon, B.W.[Byeung-Woo],
Downsampling Based Light Field Video Coding with Restoration Network Using Joint Spatio-Angular and Epipolar Information,
ICIP22(2167-2171)
IEEE DOI 2211
Video coding, Image coding, Bit rate, Feature extraction, Distortion, Light fields, Image restoration, Light field video coding, epipolar BibRef

Li, Y.[Yue], Mathew, R.[Reji], Taubman, D.[David],
JPEG Pleno Light Field Encoder with Mesh based View Warping,
ICIP23(2100-2104)
IEEE DOI 2312
BibRef
Earlier: A2, A3, Only:
JPEG Pleno Light Field Encoder with Breakpoint Dependent Affine Wavelet Transform for Disparity Maps,
ICIP22(2451-2455)
IEEE DOI 2211
Visualization, Image coding, Bit rate, Transform coding, Rate-distortion, Media, Light fields, Disparity Maps, HDCA, DWT BibRef

Palma, E.[Emanuele], Tabus, I.[Ioan],
Near-Lossless Coding of Plenoptic Camera Sensor Images for Archiving Light Field Array of Views,
IPTA22(1-6)
IEEE DOI 2206
Image coding, Codecs, Pipelines, Transform coding, Cameras, Light fields, Image reconstruction, light field, compression, light field compression BibRef

Santos, J.M.[João M.], Thomaz, L.A.[Lucas A.], Assuncao, P.A.A.[Pedro A.A.], da Silva Cruz, L.A.[Luis A.], Tavora, L.M.N.[Luis M.N.], Faria, S.M.M.[Sergio M.M.],
Disparity compensation of light fields for improved efficiency in 4D transform-based encoders,
VCIP20(112-115)
IEEE DOI 2102
Image coding, Cameras, Transform coding, Codecs, Redundancy, Prediction algorithms, Encoding, Light field compression, 4D light field codecs BibRef

Jahnke, M., Goebel, J., Palomino, D., Correa, G., Agostini, L., Porto, M., Zatt, B.,
4D-DCT Hardware Architecture for JPEG Pleno Light Field Coding,
VCIP20(132-135)
IEEE DOI 2102
Transform coding, Encoding, Discrete cosine transforms, Hardware, Transforms, Hypercubes, Light Field Coding, JPEG Pleno BibRef

Stepanov, M., Valenzise, G., Dufaux, F.,
Hybrid Learning-Based And HEVC-Based Coding Of Light Fields,
ICIP20(3344-3348)
IEEE DOI 2011
Bit rate, Image coding, Encoding, Entropy, Transform coding, Image reconstruction, Quantization (signal), light field, JPEG Pleno BibRef

Guo, M.T.[Man-Tang], Hou, J.H.[Jun-Hui], Jin, J.[Jing], Chen, J.[Jie], Chau, L.P.[Lap-Pui],
Deep Spatial-angular Regularization for Compressive Light Field Reconstruction over Coded Apertures,
ECCV20(II:278-294).
Springer DOI 2011
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

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:Mar 16, 2024 at 20:36:19