, Image showing the super-ray construction

, Consistent Super-rays performance

, Example of local non-separable graph within a super-ray

, Second eigenvector of shape-varying super-pixels belonging to the same super-ray, p.47

, Example of correspondence functions F and G computed for a small shape-varying superpixel

, Illustration of the output of the optimization process for a super-ray in 4 views, p.51

, Energy compaction with or without optimization of the first spatial transform, p.52

, Image showing the old graphs before coupling and the new graphs after optimization, p.53

, Advantage of our optimization in terms of energy compaction

, Overview of proposed color coding scheme for Light Field Compression, p.55

, Rate distortion performance of our graph based Color coding schemes for "Stone Pillar Inside"

, Rate distortion performance of our graph based Color coding schemes for "Friends, p.58

, Rate distortion performance of our graph based Color coding schemes for "Fountain Vincent, p.59

, Rate distortion performance of our graph based Color coding schemes for "Flower 2, p.59

, Rate distortion performance of our graph based Color coding schemes for "Cars, p.60

, Rate distortion performance of our graph based Color coding schemes for "Rock, p.60

, Rate distortion performance of our graph based Color coding schemes for "Flower 1, p.61

, Reference Images obtained after projection of the sampling sets in all super-rays for different light fields

, Reference Images being the top-left views of each light field

, Illustration of the energy compaction for two super-rays of Flower2

, An example set of light fields used in our experiments

, An example set of top-left view disparity maps used in our experiments, p.75

, Overview of proposed coding scheme based on the non separable graph transform, p.79

, Overview of proposed coding scheme based on the separable graph transform, p.80

, 1 Omnidirectional images (in equirectangular format) used in our experiments, p.84

, non uniform) sampling on the sphere corresponding to the planar equirectangular representation

, Accuracy of the our rate proxy

, Graph partitions represented in the equi-angular domain and in the spherical domain for Pool

, Graph partitions represented in the equi-angular domain and in the spherical domain for Farm

, 95 5.7 Graph partitions represented in the equi-angular domain and in the spherical domain for Metro, Graph partitions represented in the equi-angular domain and in the spherical domain for Hotel

. Farm and . .. Pool,

.. .. Metro, Rate-distortion comparison for Hotel

, order to study the impact of the model uncertainty

, Impact of the uncertainty when the graph consists of 100 nodes, is regular with deg = 8, and the weights follow uniform(red), bimodal(green) or gaussian(blue) distributions with a fixed variance 0.0671 and mean 0.45

, Impact of the uncertainty when the graph consists of 100 nodes, is regular with deg = 8, and the weights follow a uniform distribution with dist = {0.3, 0.7, 0.89} that correspond to green, blue and

, 20}(green, blue and red respectively), and the weights follow a uniform distribution centered on 0.45 with dist = 0, Impact of the uncertainty when the graph consists of 100 nodes, is regular with deg = {8, vol.12

M. Levoy and P. Hanrahan, Light field rendering, Proceedings of the 23rd Annual Conference on Computer Graphics and Interactive Techniques, ser. SIGGRAPH '96, pp.31-42, 1996.

R. Ng, Light field photography, 2006.

B. Wilburn, N. Joshi, V. Vaish, E. Talvala, E. Antunez et al., High performance imaging using large camera arrays, ACM Trans. Graph, vol.24, issue.3, pp.765-776, 2005.

T. Georgiev, G. Chunev, and A. Lumsdaine, Superresolution with the focused plenoptic camera, pp.78-730, 2011.

A. C. Beers, M. Agrawala, and N. Chaddha, Rendering from compressed textures, Proceedings of the 23rd Annual Conference on Computer Graphics and Interactive Techniques, ser. SIGGRAPH '96, pp.373-378, 1996.

G. Miller, R. S. , and D. Ponceleon, Lazy decompression of surface light fields for precomputed global illumination, Rendering Techniques '98, pp.281-292, 1998.

M. Magnor, A. Endmann, and B. Girod, Progressive compression and rendering of light fields, Vision, Modelling and Visualization, pp.199-203, 2000.

D. Lelescu and F. Bossen, Representation and coding of light field data, Graph. Models, vol.66, issue.4, pp.203-225, 2004.

M. Magnor and B. Girod, Data compression for light-field rendering, IEEE Trans. Cir. and Sys. for Video Technol, vol.10, issue.3, pp.338-343, 2000.

C. Chang, X. Zhu, P. Ramanathan, and B. Girod, Light field compression using disparity-compensated lifting and shape adaptation, IEEE Transactions on Image Processing, vol.15, issue.4, pp.793-806, 2006.

Y. Li, M. Sjstrm, R. Olsson, and U. Jennehag, Efficient intra prediction scheme for light field image compression, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.539-543, 2014.

Y. Li, M. Sjstrm, R. Olsson, and U. Jennehag, Scalable coding of plenoptic images by using a sparse set and disparities, IEEE Transactions on Image Processing, vol.25, issue.1, pp.80-91, 2016.

M. Tao, S. Hadap, J. Malik, and R. Ramamoorthi, Depth from combining defocus and correspondence using light-field cameras, 2013 IEEE International Conference on Computer Vision (ICCV), pp.673-680, 2013.

A. Mousnier, E. Vural, and C. Guillemot, Partial light field tomographic reconstruction from a fixed-camera focal stack

S. Wanner, S. Meister, and B. Goldluecke, Datasets and benchmarks for densely sampled 4d light fields

, European Signal Processing Conference (EUSIPCO)

B. Wilburn, N. Joshi, V. Vaish, E. Talvala, E. Antunez et al., High performance imaging using large camera arrays, ACM Transactions on Graphics (TOG). ACM, vol.24, pp.765-776, 2005.

R. Ng, Light field photography, 2006.

T. Georgiev, G. Chunev, and A. Lumsdaine, Superresolution with the focused plenoptic camera, Computational Imaging, pp.78-730, 2011.

G. Miller, S. Rubin, and D. Ponceleon, Lazy decompression of surface light fields for precomputed global illumination, Rendering Techniques 98, pp.281-292, 1998.

M. Magnor and B. Girod, Data compression for lightfield rendering, IEEE Transactions on Circuits and Systems for Video Technology, vol.10, issue.3, pp.338-343, 2000.

C. Chang, X. Zhu, P. Ramanathan, and B. Girod, Light field compression using disparitycompensated lifting and shape adaptation, IEEE transactions on image processing, vol.15, issue.4, pp.793-806, 2006.

Y. Li, M. Sjostrom, R. Olsson, and U. Jennehag, Efficient intra prediction scheme for light field image compression, Acoustics, Speech and Signal Processing, pp.539-543, 2014.

X. Jiang, L. Pendu, R. A. Farrugia, S. S. Hemami, and C. Guillemot, Homography-based low rank approximation of light fields for compression, IEEE International Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2017.
URL : https://hal.archives-ouvertes.fr/hal-01591315

T. Maugey, A. Ortega, and P. Frossard, Graph-based representation for multiview image geometry, IEEE Transactions on Image Processing, vol.24, issue.5, pp.1573-1586, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01116211

X. Su, T. Maugey, and C. Guillemot, RateDistortion Optimized Graph-Based Representation for Multiview Images With Complex Camera Configurations, IEEE Transactions on Image Processing, vol.26, issue.6, pp.2644-2655, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01492850

G. J. Sullivan, J. R. Ohm, W. J. Han, and T. Wiegand, Overview of the high efficiency video coding (HEVC) standard, IEEE Transactions on, vol.22, issue.12, pp.1649-1668, 2012.

. David-i-shuman, K. Sunil, P. Narang, A. Frossard, P. Ortega et al., The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains, IEEE Signal Processing Magazine, vol.30, issue.3, pp.83-98, 2013.

E. Bosc, V. Jantet, M. Pressigout, L. Morin, and C. Guillemot, Bit-rate allocation for multi-view video plus depth, 3DTV Conference: The True VisionCapture, Transmission and Display of 3D Video (3DTV-CON), pp.1-4, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00595580

S. Wanner, S. Meister, and B. Goldluecke, Datasets and Benchmarks for Densely Sampled 4D Light Fields, pp.225-226, 2013.

&. Blender and . Blender,

S. Michael-w-tao, J. Hadap, R. Malik, and . Ramamoorthi, Depth from combining defocus and correspondence using light-field cameras, Proceedings of the IEEE International Conference on Computer Vision, pp.673-680, 2013.

J. Hae-gon-jeon, G. Park, J. Choe, Y. Park, Y. Bok et al., Accurate depth map estimation from a lenslet light field camera, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp.1547-1555, 2015.

X. Su, T. Maugey, and C. Guillemot, Graphbased representation for multiview images with complex camera configurations, 2016 IEEE International Conference on, pp.1554-1558, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01378422

D. Jesse and . Kornblum, Using JPEG quantization tables to identify imagery processed by software, Digital Investigation, vol.5, pp.21-25, 2008.

G. Shen, W. Kim, K. Sunil, A. Narang, J. Ortega et al., Edge-adaptive transforms for efficient depth map coding, Picture Coding Symposium (PCS), pp.566-569, 2010.

E. Hilmi, A. Egilmez, Y. Said, A. Chao, and . Ortega, Graph-based transforms for inter predicted video coding, Image Processing (ICIP), 2015 IEEE International Conference on, pp.3992-3996, 2015.

B. Wilburn, N. Joshi, V. Vaish, E. Talvala, E. Antunez et al., High performance imaging using large camera arrays, ACM Transactions on Graphics (TOG), vol.24, issue.3, pp.765-776, 2005.

R. Ng, M. Levoy, M. Brédif, G. Duval, M. Horowitz et al., Light field photography with a hand-held plenoptic camera, Computer Science Technical Report CSTR, vol.2, issue.11, pp.1-11, 2005.

M. Rizkallah, T. Maugey, C. Yaacoub, and C. Guillemot, Impact of light field compression on focus stack and extended focus images, Signal Processing Conference (EUSIPCO), pp.898-902, 2016.

D. Liu, L. Wang, L. Li, Z. Xiong, F. Wu et al., Pseudosequence-based light field image compression, 2016 IEEE International Conference on, pp.1-4, 2016.

C. Conti, P. Nunes, and L. D. Soares, HEVC-based light field image coding with bi-predicted self-similarity compensation, 2016 IEEE International Conference on, pp.1-4, 2016.

C. Conti, L. D. Soares, and P. Nunes, HEVC-based 3D holoscopic video coding using self-similarity compensated prediction, Signal Processing: Image Communication, vol.42, pp.59-78, 2016.

Y. Li, M. Sjostrom, R. Olsson, and U. Jennehag, Efficient intra prediction scheme for light field image compression, Acoustics, Speech and Signal Processing, pp.539-543, 2014.

R. Monteiro, L. Lucas, C. Conti, P. Nunes, N. Rodrigues et al., Light field HEVC-based image coding using locally linear embedding and self-similarity compensated prediction, Multimedia & Expo Workshops (ICMEW), pp.1-4, 2016.

C. Perra and P. Assuncao, High efficiency coding of light field images based on tiling and pseudo-temporal data arrangement, 2016 IEEE International Conference on, pp.1-4, 2016.

W. Ahmad, R. Olsson, and M. Sjöström, Interpreting Plenoptic Images as Multi-View Sequences for Improved Compression, IEEE International Conference on Image Processing, 2017.

C. Jia, Y. Yang, X. Zhang, X. Zhang, S. Wang et al., Optimized Inter-View Prediction Based Light Field Image Compression With Adaptive Reconstruction, IEEE International Conference on Image Processing, 2017.

X. Jiang, M. L. Pendu, R. A. Farrugia, and C. Guillemot, Light Field Compression With Homography-Based Low-Rank Approximation, IEEE Journal of Selected Topics in Signal Processing, vol.11, issue.7, pp.1132-1145, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01591349

R. Verhack, T. Sikora, L. Lange, R. Jongebloed, G. Van-wallendael et al., Steered mixture-of-experts for light field coding, depth estimation, and processing, p.2017

, IEEE, pp.1183-1188, 2017.

X. Su, M. Rizkallah, T. Maugey, and C. Guillemot, Graph-based light fields representation and coding using geometry information, IEEE International Conference on Image Processing, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01589626

N. K. Kalantari, T. Wang, and R. Ramamoorthi, Learning-based view synthesis for light field cameras, ACM Transactions on Graphics (TOG), vol.35, issue.6, p.193, 2016.

M. Rizkallah, X. Su, T. Maugey, and C. Guillemot, Graph-based Transforms for Predictive Light Field Compression based on SuperPixels, IEEE International Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2018.
URL : https://hal.archives-ouvertes.fr/hal-01737332

R. Achanta, A. Shaji, K. Smith, A. Lucchi, P. Fua et al., SLIC superpixels compared to state-of-the-art superpixel methods, IEEE transactions on pattern analysis and machine intelligence, vol.34, pp.2274-2282, 2012.

M. Hog, N. Sabater, and C. Guillemot, Superrays for Efficient Light Field Processing, IEEE Journal of Selected Topics in Signal Processing, vol.11, issue.7, pp.1187-1199, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01407852

R. Achanta, SLIC superpixels compared to state-of-the-art superpixel methods, IEEE transactions on pattern analysis and machine intelligence, vol.34, pp.2274-2282, 2012.

J. R. Edward-h-adelson and . Bergen, The plenoptic function and the elements of early vision

H. Edward, J. Y. Adelson, and . Wang, Single lens stereo with a plenoptic camera, IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.2, pp.99-106, 1992.

W. Ahmad, R. Olsson, and M. Sjöström, Interpreting Plenoptic Images as MultiView Sequences for Improved Compression, IEEE International Conference on Image Processing, 2017.

P. Rondao-alface, J. Macq, and N. Verzijp, Interactive omnidirectional video delivery: A bandwidth-effective approach, Bell Labs Technical Journal, vol.16, pp.135-147, 2012.

I. Bauermann, H.264 BASED CODING OF OMNIDIRECTIONAL VIDEO, International Conference on Computer Vision and Graphics, 2004.

M. Belkin, I. Matveeva, and P. Niyogi, Regularization and semi-supervised learning on large graphs, vol.3120, pp.624-638, 2004.

C. Robert, H. Bolles, D. H. Baker, and . Marimont, Epipolar-plane image analysis: An approach to determining structure from motion, International journal of computer vision, vol.1, issue.1, pp.7-55, 1987.

C. James and . Bremer, Diffusion wavelet packets, Applied and Computational Harmonic Analysis, vol.21, pp.95-112, 2006.

A. Casteigts, Time-varying graphs and dynamic networks, International Journal of Parallel, Emergent and Distributed Systems, vol.27, pp.387-408, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00854287

C. Shenchang-eric, Quicktime VR: An image-based approach to virtual environment navigation, Proceedings of the 22nd annual conference on Computer graphics and interactive techniques, pp.29-38, 1995.

Z. Chen, Y. Li, and Y. Zhang, Recent advances in omnidirectional video coding for virtual reality: Projection and evaluation, Signal Processing, vol.146, pp.165-1684, 2018.

Z. Chen, Y. Li, and Y. Zhang, Recent advances in omnidirectional video coding for virtual reality: Projection and evaluation, Signal Processing, vol.146, pp.66-78, 2018.

G. Cheung, Graph Spectral Image Processing, Proceedings of the IEEE, vol.106, pp.18-9219, 2018.

A. Philip, R. L. Chou, and . De-queiroz, Submitted for possible publication in Int'l Conf. on Image Processing (ICIP), 2016.

R. K. Fan and . Chung, Spectral graph theory, vol.92, 1997.

R. Ronald, M. Coifman, and . Maggioni, Diffusion wavelets, Applied and Computational Harmonic Analysis, vol.21, issue.1, pp.53-94, 2006.

C. Conti, P. Nunes, and L. Soares, New HEVC prediction modes for 3D holoscopic video coding, 2012 19th IEEE International Conference on Image Processing (ICIP), pp.1325-1328, 2012.

C. Conti, P. Nunes, and L. Soares, HEVC-based light field image coding with bi-predicted self-similarity compensation, 2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), pp.1-4, 2016.

C. Conti, L. Soares, and P. Nunes, HEVC-based 3D holoscopic video coding using self-similarity compensated prediction, Signal Processing, vol.42, pp.59-78, 2016.

M. Crovella and E. Kolaczyk, Graph wavelets for spatial traffic analysis, INFOCOM 2003. Twenty-Second Annual Joint Conference of the IEEE Computer and Communications, vol.3, pp.1848-1857, 2003.

?. D?ba?a, Efficient Multi-image Correspondences for On-line Light Field Video Processing, Computer Graphics Forum, vol.35, pp.401-410, 2016.

I. Daribo, G. Cheung, and D. Florencio, Arithmetic edge coding for arbitrarily shaped sub-block motion prediction in depth video compression, 19th IEEE International Conference on Image Processing, pp.1541-1544, 2012.

I. Daribo, G. Cheung, and D. Florencio, Arithmetic edge coding for arbitrarily shaped sub-block motion prediction in depth video compression, 19th IEEE International Conference on Image Processing, pp.1541-1544, 2012.

P. David, L. Pendu, and C. Guillemot, White lenslet image guided demosaicing for plenoptic cameras, IEEE 19th International Workshop on Multimedia Signal Processing, pp.1-6, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01590345

B. Ronald-a-devore, B. J. Jawerth, and . Lucier, Image compression through wavelet transform coding, IEEE Transactions on information theory, vol.38, pp.719-746, 1992.

, Digital compression and coding of continuoustone still images

X. Dong, Learning Graphs from Data: A Signal Representation Perspective, 2018.

X. Dong, Learning Laplacian Matrix in Smooth Graph Signal Representations, 2014.

H. E. Egilmez, E. Pavez, and A. Ortega, Graph Learning From Data Under Laplacian and Structural Constraints, IEEE Journal of Selected Topics in Signal Processing, vol.11, issue.6, pp.1932-4553, 2017.

E. Hilmi, E. Egilmez, A. Pavez, and . Ortega, Graph Learning from Data under Structural and Laplacian Constraints, 2016.

E. Hilmi and . Egilmez, Graph-based transforms for inter predicted video coding, 2015 IEEE International Conference on, pp.3992-3996, 2015.

G. Fracastoro and E. Magli, Predictive graph construction for image compression, 2015 IEEE International Conference on Image Processing (ICIP), pp.2204-2208, 2015.

G. Fracastoro, D. Thanou, and P. Frossard, Graph transform learning for image compression, 2016 Picture Coding Symposium, pp.1-5, 2016.

G. Fracastoro, Superpixel-driven graph transform for image compression, 2015 IEEE International Conference on Image Processing (ICIP), pp.2631-2635, 2015.

H. Freeman, On the Encoding of Arbitrary Geometric Configurations, IRE Transactions on Electronic Computers EC-10, pp.367-9950, 1961.

H. Freeman, On the Encoding of Arbitrary Geometric Configurations, IRE Transactions on Electronic Computers EC-10, pp.367-9950, 1961.

C. Fu, The rhombic dodecahedron map: An efficient scheme for encoding panoramic video, IEEE Transactions on Multimedia, vol.11, pp.634-644, 2009.

T. El, -. Ganainy, and M. Hefeeda, Streaming virtual reality content, 2016.

T. Georgiev, G. Chunev, and A. Lumsdaine, Superresolution with the focused plenoptic camera, Computational Imaging IX, vol.7873, p.78730, 2011.

T. Georgiev and A. Lumsdaine, Reducing plenoptic camera artifacts, Computer Graphics Forum, vol.29, pp.1955-1968, 2010.

K. Vivek, J. Goyal, M. Zhuang, and . Veiterli, Transform coding with backward adaptive updates, IEEE Transactions on Information Theory, vol.46, pp.1623-1633, 2000.

K. David, P. Hammond, R. Vandergheynst, and . Gribonval, Wavelets on graphs via spectral graph theory, Applied and Computational Harmonic Analysis, vol.30, pp.129-150, 2011.

P. Helle, Block merging for quadtree-based partitioning in HEVC, IEEE Transactions on Circuits and Systems for Video Technology, vol.22, pp.1720-1731, 2012.

M. Hog, N. Sabater, and C. Guillemot, Super-rays for Efficient Light Field Processing, IEEE J. on Selected Topics in Signal Processing, special issue on light field image processing, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01407852

M. Hog, N. Sabater, and C. Guillemot, Superrays for Efficient Light Field Processing, IEEE Journal of Selected Topics in Signal Processing, vol.11, pp.1187-1199, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01407852

W. Hu, Multiresolution Graph Fourier Transform for Compression of Piecewise Smooth Images, IEEE Transactions on Image Processing, vol.24, pp.1057-7149, 2015.

W. Hu, Multiresolution graph Fourier transform for compression of piecewise smooth images, IEEE Transactions on Image Processing, vol.24, pp.419-433, 2015.

K. Anil and . Jain, A sinusoidal family of unitary transforms, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.4, pp.356-365, 1979.

R. Tommy, B. Jensen, and . Toft, Graph coloring problems, vol.39, 2011.

C. Jia, Optimized inter-view prediction based light field image compression with adaptive reconstruction, 2017 IEEE International Conference on Image Processing (ICIP), pp.4572-4576, 2017.

X. Jiang, L. Pendu, and C. Guillemot, Depth estimation with occlusion handling from a sparse set of light field views, IEEE International Conference on Image Processing (ICIP), 2018.
URL : https://hal.archives-ouvertes.fr/hal-01786049

X. Jiang, L. Pendu, and C. Guillemot, Light Fields Compression Using Depth Image Based View Synthesis, Hot3D workshop held jointly with IEEE Int. Conf. on Multimedia and Expo, ICME, 2017.

X. Jiang, Homography-based low rank approximation of light fields for compression, Acoustics, Speech and Signal Processing, pp.1313-1317, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01591315

X. Jiang, Light field compression with homography-based low-rank approximation, IEEE Journal of Selected Topics in Signal Processing, vol.11, pp.1132-1145, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01591349

T. Nima-khademi-kalantari, R. Wang, and . Ramamoorthi, Learning-based view synthesis for light field cameras, ACM Transactions on Graphics (TOG), vol.35, p.193, 2016.

C. Kim, Scene reconstruction from high spatio-angular resolution light fields, ACM Trans. Graph, vol.32, pp.73-74, 2013.

. Woo-shik, . Kim, K. Sunil, A. Narang, and . Ortega, Graph based transforms for depth video coding, Acoustics, Speech and Signal Processing, pp.813-816, 2012.

A. Kovnatsky, Coupled quasi-harmonic bases, Computer Graphics Forum, vol.32, pp.439-448, 2013.

R. Luc-le-magoarou, N. Gribonval, and . Tremblay, Approximate fast graph fourier transforms via multilayer sparse approximations, IEEE transactions on Signal and Information Processing over Networks, vol.4, pp.407-420, 2018.

M. Levoy, Light fields and computational imaging, Computer 39, pp.46-55, 2006.

M. Levoy and P. Hanrahan, Light field rendering, Proceedings of the 23rd annual conference on Computer graphics and interactive techniques, pp.31-42, 1996.

M. Levoy, Synthetic aperture confocal imaging, ACM Transactions on Graphics (ToG), vol.23, pp.825-834, 2004.

Y. Li, R. Olsson, and M. Sjöström, Compression of unfocused plenoptic images using a displacement intra prediction, IEEE International Conference on Multimedia & Expo Workshops (ICMEW), pp.1-4, 2016.

D. Liu, Pseudo-sequence-based light field image compression, IEEE Int. Conf. on Multimedia Expo Workshops (ICMEW), 2016.

D. Liu, Pseudo-sequence-based light field image compression, 2016 IEEE International Conference on, pp.1-4, 2016.

T. Maugey, O. L. Meur, and Z. Liu, Saliency-based navigation in omnidirectional image, 2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), pp.1-6, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01575566

L. Mcmillan and G. Bishop, Plenoptic modeling: An image-based rendering system, Proceedings of the 22nd annual conference on Computer graphics and interactive techniques, pp.39-46, 1995.

B. Motz, G. Cheung, and P. Frossard, Graph-based representation and coding of 3D images for interactive multiview navigation, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.1155-1159, 2016.

K. Sunil, Y. Narang, A. Chao, and . Ortega, Critically sampled graph-based wavelet transforms for image coding, Signal and Information Processing Association Annual Summit and Conference (APSIPA), pp.1-4, 2013.

K. Sunil, A. Narang, and . Ortega, Compact support biorthogonal wavelet filterbanks for arbitrary undirected graphs, IEEE Transactions on Signal Processing, vol.61, pp.4673-4685, 2013.

K. Sunil, A. Narang, and . Ortega, Lifting based wavelet transforms on graphs, Proceedings: APSIPA ASC 2009: Asia-Pacific Signal and Information Processing Association, 2009 Annual Summit and Conference, pp.441-444, 2009.

K. Sunil, A. Narang, and . Ortega, Perfect reconstruction two-channel wavelet filter banks for graph structured data, IEEE Transactions on Signal Processing, vol.60, issue.6, pp.2786-2799, 2012.

K. Sunil and . Narang, Localized iterative methods for interpolation in graph structured data, Global Conference on Signal and Information Processing (GlobalSIP), pp.491-494, 2013.

R. Ng, Light Field Photography, 2006.

R. Ng, Light field photography with a hand-held plenoptic camera, Computer Science, pp.1-11, 2005.

. Bastien-pasdeloup, Translations on graphs with neighborhood preservation, 2017.

E. Pavez, GTT: Graph template transforms with applications to image coding, Picture Coding Symposium (PCS), pp.199-203, 2015.

K. Brandt-petersen and M. Syskind-pedersen, The matrix cookbook, p.510, 2008.

R. Prevedel, Simultaneous whole-animal 3D imaging of neuronal activity using lightfield microscopy, Nature methods, vol.11, p.727, 2014.

M. Puschel, M. F. José, and . Moura, Algebraic signal processing theory: Foundation and 1-D time, IEEE Transactions on Signal Processing, vol.56, pp.3572-3585, 2008.

I. Ram, M. Elad, and I. Cohen, Redundant wavelets on graphs and high dimensional data clouds, IEEE Signal Processing Letters, vol.19, pp.291-294, 2012.
URL : https://hal.archives-ouvertes.fr/hal-00705953

M. Rizkallah, Impact of light field compression on focus stack and extended focus images, Signal Processing Conference (EUSIPCO), pp.898-902, 2016.

I. Rotondo, Designing sparse graphs via structure tensor for block transform coding of images, 2015.

R. Rustamov and L. J. Guibas, Wavelets on graphs via deep learning, Advances in Neural Information Processing Systems, pp.998-1006, 2013.

A. Sandryhaila, M. F. Jose, and . Moura, Big data analysis with signal processing on graphs: Representation and processing of massive data sets with irregular structure, IEEE Signal Processing Magazine, vol.31, pp.80-90, 2014.

A. Sandryhaila, M. F. José, and . Moura, Discrete signal processing on graphs, IEEE Transactions on Signal Processing, vol.61, pp.1644-1656, 2013.

D. Scharstein and R. Szeliski, A taxonomy and evaluation of dense two-frame stereo correspondence algorithms, International journal of computer vision, vol.47, pp.7-42, 2002.

G. Shen and A. Ortega, Optimized distributed 2D transforms for irregularly sampled sensor network grids using wavelet lifting, IEEE International Conference on Acoustics, Speech and Signal Processing, pp.2513-2516, 2008.

G. Shen, Edge-adaptive transforms for efficient depth map coding, Picture Coding Symposium (PCS), pp.566-569, 2010.

J. Shi and J. Malik, Normalized cuts and image segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.22, pp.162-8828, 2000.

. David-i-shuman, The emerging field of signal processing on graphs: Extending highdimensional data analysis to networks and other irregular domains, IEEE Signal Processing Magazine, vol.30, pp.83-98, 2013.

T. Sikora and B. Makai, Shape-adaptive DCT for generic coding of video, IEEE Transactions on Circuits and Systems for Video Technology, vol.5, pp.59-62, 1995.

F. Simone, Geometry-driven quantization for omnidirectional image coding, 2016 Picture Coding Symposium (PCS), pp.1-5, 2016.

A. Skodras, C. Christopoulos, and T. Ebrahimi, The JPEG 2000 still image compression standard, vol.18, pp.36-58, 2001.

G. Strang, The discrete cosine transform, SIAM review, vol.41, pp.135-147, 1999.

X. Su, Graph-based light fields representation and coding using geometry information, IEEE International Conference on Image Processing, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01589626

X. Su, Rate-Distortion Optimized Super-Ray Merging for Light Field Compression, European Signal Processing Conference (EUSIPCO), 2018.
URL : https://hal.archives-ouvertes.fr/hal-01812858

I. Tabus, P. Helin, and P. Astola, Lossy compression of lenslet images from plenoptic cameras combining sparse predictive coding and JPEG, Image Processing (ICIP, pp.4567-4571, 2000.

W. Michael and . Tao, Depth from combining defocus and correspondence using light-field cameras, Proceedings of the IEEE International Conference on Computer Vision, pp.673-680, 2013.

D. Thanou, I. David, P. Shuman, and . Frossard, Learning parametric dictionaries for signals on graphs, IEEE Transactions on Signal Processing, vol.62, pp.3849-3862, 2014.

I. Tosic and P. Frossard, Low bit-rate compression of omnidirectional images, Proceedings of PCS, 2009.

E. O. Dion, P. Tzamarias, P. Akyazi, and . Frossard, A Novel Method for Sampling Bandlimited Graph Signals, Proceedings of EUSIPCO, CONF, 2018.

F. Verdoja and M. Grangetto, Directional graph weight prediction for image compression, Acoustics, Speech and Signal Processing, pp.1517-1521, 2017.

R. Verhack, Steered mixture-of-experts for light field coding, depth estimation, and processing, 2017 IEEE International Conference on, pp.1183-1188, 2017.

I. Viola, A graph learning approach for light field image compression, Applications of Digital Image Processing XLI, vol.10752, p.107520, 2018.

K. Gregory and . Wallace, The JPEG still picture compression standard, IEEE transactions on consumer electronics, vol.38, pp.xviii-xxxiv, 1992.

W. Wang and K. Ramchandran, Random multiresolution representations for arbitrary sensor network graphs, 2006 IEEE International Conference on Acoustics, Speech and Signal Processing, vol.4, pp.IV-IV, 2006.

S. Wanner and B. Goldluecke, Globally consistent depth labeling of 4D light fields, Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, pp.41-48, 2012.

B. Wilburn, High performance imaging using large camera arrays, ACM Transactions on Graphics (TOG), vol.24, pp.765-776, 2005.

J. Xiao, Recognizing scene viewpoint using panoramic place representation, Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, pp.2695-2702, 2012.

M. Yu, H. Lakshman, and B. Girod, A Framework to Evaluate Omnidirectional Video Coding Schemes, 2015.

C. Zhang and T. Chen, A self-reconfigurable camera array, ACM SIGGRAPH 2004 Sketches, ACM, p.151, 2004.

C. Zhang and D. Florêncio, Analyzing the optimality of predictive transform coding using graph-based models, IEEE Signal Processing Letters, vol.20, pp.106-109, 2013.

C. Zhang, D. Florêncio, and C. Loop, Point cloud attribute compression with graph transform, 2014 IEEE International Conference on Image Processing (ICIP), pp.2066-2070, 2014.

X. Zhang, X. Dong, and P. Frossard, Learning of structured graph dictionaries, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.3373-3376, 2012.

S. Zhao and Z. Chen, Light field image coding via linear approximation prior, 2017 IEEE International Conference on Image Processing (ICIP), pp.4562-4566, 2017.

A. Zheng, G. Cheung, and D. Florencio, Context tree-based image contour coding using a geometric prior, IEEE Transactions on Image Processing, vol.26, pp.574-589, 2017.

D. Zhou and B. Scholkopf, A regularization framework for learning from graph data, ICML workshop on statistical relational learning and Its connections to other fields, 2004.