D. I. Shuman, S. K. Narang, P. Frossard, A. Ortega, and P. Vandergheynst, 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.

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

W. Hu, G. Cheung, X. Li, and O. Au, Depth map compression using multi-resolution graph-based transform for depth-image-based rendering, 2017 IEEE International Conference on Image Processing ICIP, 2012.

W. Kim, S. K. Narang, and A. Ortega, Graph based transforms for depth video coding, Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on, pp.813-816, 2012.

C. Zhang and D. Florêncio, Analyzing the optimality of predictive transform coding using graph-based models, IEEE Signal Processing Letters, vol.20, issue.1, pp.106-109, 2013.

W. Hu, G. Cheung, A. Ortega, and O. C. Au, Multiresolution graph fourier transform for compression of piecewise smooth images, IEEE Transactions on Image Processing, vol.24, issue.1, pp.419-433, 2015.

W. Su, G. Cheung, and C. Lin, Graph fourier transform with negative edges for depth image coding, 2017 IEEE International Conference on, pp.1682-1686, 2017.

G. Cheung, E. Magli, Y. Tanaka, and M. Ng, Graph spectral image processing, Proceedings of the IEEE, vol.106, issue.5, pp.907-930, 2018.

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

M. Rizkallah, T. Maugey, and C. Guillemot, Graph-based spatioangular prediction for quasi-lossless compression of light fields, Data Compression Conference, DCC, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02116369

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

D. E. Tzamarias, P. Akyazi, and P. Frossard, A novel method for sampling bandlimited graph signals, Proceedings of EUSIPCO, 2018.

I. Pesenson, Sampling in paley wiener spaces on combinatorial graphs, Transactions of the American Mathematical Society, vol.360, issue.10, pp.5603-5627, 2008.

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

, Hevc-based light field image coding with bi-predicted selfsimilarity compensation, 2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 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, 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, L. Wang, L. Li, Z. Xiong, F. Wu et al., Pseudosequence-based light field image compression, Multimedia & Expo Workshops (ICMEW), 2016 IEEE International Conference on, pp.1-4, 2016.

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.

C. Jia, Y. Yang, X. Zhangy, X. Zhang, S. Wangx et al., Optimized inter-view prediction based light field image compression with adaptive reconstruction, 2017 IEEE International Conference on Image Processing ICIP, 2017.

W. Ahmad, R. Olsson, and M. Sjostrom, Interpreting plenoptic images as multiview sequences for improved compression, 2017 IEEE International Conference on Image Processing ICIP, 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

E. Dib, M. L. Pendu, and C. Guillemot, Super-ray based low rank approximation for light field compression, Data Compression Conference, DCC, 2019.

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, Multimedia and Expo (ICME, pp.1183-1188, 2017.

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.

X. Jiang, M. 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. IEEE, 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.

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.

I. J. Jpeg, Jpeg pleno light field coding vm 1.1, Doc. N81052, 2018.

C. Galea and C. Guillemot, Denoising of 3d point clouds constructed from light fields, ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.1882-1886, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02116377

S. Schwarz, M. Preda, V. Baroncini, M. Budagavi, P. Cesar et al., Emerging mpeg standards for point cloud compression, IEEE Journal on Emerging and Selected Topics in Circuits and Systems, vol.9, issue.1, pp.133-148, 2018.
URL : https://hal.archives-ouvertes.fr/hal-02009345

L. H. Xu, K. Zhang, and W. Zhu, Introduction to point cloud compression, Zte Communications, vol.16, issue.3, 2018.

L. He, W. Zhu, and Y. Xu, Best-effort projection based attribute compression for 3d point cloud, 2017 23rd Asia-Pacific Conference on Communications (APCC), pp.1-6, 2017.

C. Perra, Lossless plenoptic image compression using adaptive block differential prediction, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp.1231-1234, 2015.

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.

S. Gortler, R. Grzeszczuk, R. Szeliski, and M. Cohen, The lumigraph, Proc. SIGGRAPH, pp.43-54, 1996.

X. Ren and J. Malik, Learning a classification model for segmentation, Proc. IEEE Int. Conf. on Computer Vision, ICCV, pp.10-17, 2003.

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.

X. Jiang, M. 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

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

M. Rerabek and T. Ebrahimi, New light field image dataset, 8th International Conference on Quality of Multimedia Experience (QoMEX), no. CONF, 2016.

, Jpeg pleno light field dataset

W. Ahmad, R. Olsson, and M. Sjostrom, Towards a generic compression solution for densely and sparsely sampled light field data, 2018 25th IEEE International Conference on Image Processing (ICIP), pp.654-658, 2018.

L. L. Magoarou, R. Gribonval, and N. Tremblay, Approximate fast graph Fourier transforms via multi-layer sparse approximations, IEEE transactions on Signal and Information Processing over Networks, vol.4, issue.2, pp.407-420, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01416110

K. Lu and A. Ortega, Fast graph fourier transforms based on graph symmetry and bipartition, IEEE Transactions on Signal Processing, vol.67, issue.18, pp.4855-4869, 2019.