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
Lyu, X.Q.[Xian-Qiang],
Hou, J.H.[Jun-Hui],
Probabilistic-Based Feature Embedding of 4-D Light Fields for
Compressive Imaging and Denoising,
IJCV(132), No. 6, June 2024, pp. 2255-2275.
Springer DOI
2406
BibRef
Liu, B.[Boning],
Zhao, Y.[Yan],
Jiang, X.M.[Xiao-Meng],
Ji, X.G.[Xing-Guang],
Wang, S.G.[Shi-Gang],
Liu, Y.B.[Ye-Bin],
Wei, J.[Jian],
5-D Epanechnikov Mixture-of-Experts in Light Field Image Compression,
IP(33), 2024, pp. 4029-4043.
IEEE DOI
2407
Image coding, Kernel, Cameras, Adaptation models,
Mathematical models, Transform coding, Prediction algorithms,
kernel method
BibRef
Shi, J.L.[Jing-Lei],
Xu, Y.H.[Yi-Hong],
Guillemot, C.[Christine],
Learning Kernel-Modulated Neural Representation for Efficient Light
Field Compression,
IP(33), 2024, pp. 4060-4074.
IEEE DOI
2407
Light fields, Modulation, Image coding, Kernel,
Rendering (computer graphics), Decoding, Task analysis,
kernel decomposition
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 .