The project started in Sept. 1st 2016. This web page will be updated with all the project related publications (2017-2021).

Journal Publications

  • X. Jiang, J. Shi, C. Guillemot, Untrained Neural Network Prior for Compact Light Field Representation and Compression, IEEE Trans. on Image Processing, submitted, Sept. 2021.
  • J. Shi, X. Jiang, C. Guillemot, Deep Residual Architecture Using Pixel and Feature Cues for View Synthesis, IEEE Trans. on Computational Imaging (TCI), submitted, Aug. 2021.
  • M. Le Pendu, C. Guillemot, Preconditioned Plug-and-Play ADMM with Locally Adjustable Denoiser for Inverse Problems, submitted, IEEE Trans. on Pattern Analysis and Machine Intelligence, Aug. 2021.
  • Z. Xiao, J. Shi, X. Jiang, C. Guillemot, Axial refocusing precision model with light fields, Elsevier journal signal processing: Image communication, submitted, July 2021.
  • M. Krivokuca, E. Miandji, C. Guillemot, P. Chou, Compression of Plenoptic Point Cloud Attributes Using 6-D Point Clouds and 6-D Transforms, IEEE Trans. on Multimedia, submitted, June 2021.
  • E. Miandji, H.-N. Nguyen, S. Hajisharif, J. Unger, C. Guillemot, Compressive HDR light field imaging using a single multi-ISO sensor, IEEE Trans. on Computational Imaging (TCI), submitted, March 2021.
  • Z. Xiao, J. Shi, X. Jiang, C. Guillemot, A learning-based view extrapolation method for axial super-resolution, Neurocomputing Journal, vol. 455, pp. 229-241, Sept. 2021. [preprint]
  • M. Rizkallah, T. Maugey, C. Guillemot, Rate-Distortion Optimized Graph Coarsening and Partitioning for Light Field Coding, IEEE Trans. on Image Processing, vol. 30, pp. 5518-5532, June 2021. [preprint]
  • G. Le Guludec, E. Miandji, C. Guillemot, Deep Light Field Acquisition Using Learned Coded Mask Distributions for Color Filter Array Sensors, IEEE Trans. on computational imaging, vol. 7, pp. 475-488, 2021, May 2021. [preprint, more]
  • F. Hawary, G. Boisson, C. Guillemot, P. Guillotel, Compressively Sampled Light Field Reconstruction Using Orthogonal Frequency Selection and Refinement, Elsevier Signal Processing: Image Communication, Volume 92, March 2021. [preprint]
  • H.-N. Nguyen, E. Miandji, C. Guillemot, Multi-Mask Camera Model for Compressed Acquisition of Light Fields, IEEE Trans. on computational imaging, vol. 7, pp. 191-208, Jan. 2021. [preprint]
  • E. Dib, M. Le Pendu, X. Jiang, C. Guillemot, Local low rank approximation with a parametric disparity model for light field compression, IEEE Trans. on Image Processing, vol. 29, pp.9641-9653, Oct. 2020. [preprint]
  • P. David, M. Le Pendu, C. Guillemot, Local 4D Affine Model for Scene Flow Estimation from Sparse Light Fields, IEEE Trans. on computational imaging, vol. 6, pp.791-805, March. 2020. [preprint]
  • S. Hajisharif, E. Miandji, C. Guillemot, J. Unger, Single Sensor Compressive Light Field Video Camera, Computer Graphics Forum, vol. 39, No. 2, pp.463-474, May 2020 (also presented at Eurographics 2020).[preprint]
  • R. Farrugia, C. Guillemot, A Simple Framework to Leverage State-Of-The-Art Single-Image Super-Resolution Methods to Restore Light Fields, Signal Processing: Image Communication, vol. 80, Feb. 2020. [preprint]
  • S. Evain, C. Guillemot, A Lightweight Neural Network for Monocular View Generation with Occlusion Handling, IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), Dec. 2019. [preprint; more]
  • M. Rizkallah, T. Maugey, C. Guillemot, Prediction and Sampling with Local Graph Transforms for Quasi-Lossless Light Field Compression, IEEE Trans. on Image Processing, vol. 29, pp. 3282-3295, Dec. 2019. [preprint]
  • M. Rizkallah, X. Su, T. Maugey, C. Guillemot, Geometry-Aware Graph Transforms for Light Field Compact Representation, IEEE Trans. on Image Processing, vol. 29, pp.602-616, 29 July 2019. [preprint, more].
  • J. Shi, X. Jiang, C. Guillemot, A framework for learning depth from a flexible subset of dense and sparse light field views, IEEE Trans. on Image Processing, vol. 28, No. 12, pp. 5867-5880, June 2019. Also presented at IEEE ICIP, Sept. 2019 . [preprint; more].
  • C. Galdi, V. Chiesa, C. Busch, P. Lobato Correia, J.-L. Dugelay 1 and C. Guillemot, Light Fields for Face Analysis, Sensors, Special Issue on Sensor Applications on Face Analysis, vol. 19, No. 12, June 2019. [preprint]
  • M. Le Pendu, C. Guillemot, A. Smolic, A Fourier Disparity Layer Representation for Light Fields, IEEE Trans. on Image Processing, Vol. 28, No. 11, pp. 5740-5753, June 2019. [preprint]
  • P. Allain, L. Guillo, C. Guillemot, 4D Anisotropic Diffusion Framework with PDEs for Light Field Regularization and Inverse Problems, IEEE Trans. on Computational Imaging, vol. 6, pp. 109-124, June 2019. [preprint, more].
  • R. Farrugia, C. Guillemot, Light Field Super-Resolution using a Low-Rank Prior and Deep Convolutional Neural Networks, IEEE Pattern Analysis and Machine Intelligence (PAMI), January 2019 [preprint; more].
  • M. Le Pendu, X. Jiang, C. Guillemot, Light Field inpainting propagation via low rank matrix completion, IEEE Trans. on Image Processing, vol. 27, No. 4, pp. 1981-1993, Jan. 2018. [preprint; more].
  • X. Jiang. M. Le Pendu, R. Farrugia, C. Guillemot, Light Field Compression with Homography-based Low Rank Approximation, special issue on Light Field Image Processing of the IEEE J. on Selected Topics in Signal Processing, IEEE J-STSP, vol. 11, No. 7, pp. 1132-1145, Oct. 2017. [preprint; more].
  • R. Farrugia, C. Galea, C. Guillemot, Super Resolution of Light Field Images using Linear Subspace Projection of Patch-Volumes, special issue on Light Field Image Processing of the IEEE J. on Selected Topics in Signal Processing, IEEE J-STSP, vol. 11, No. 7, pp. 1058-1071, Oct. 2017. [preprint; more].
  • C. Guillemot and R. Farrugia, Light fields image processing: overview and research issues, IEEE MMTC Communications - Frontiers, July 2017 [can be accessed here.]
  • Conference Publications

  • R. Fermanian, M. Le Pendu, C. Guillemot, Regularizing the Deep Image Prior with a Learned Denoiser for Linear Inverse Problems, IEEE MultiMedia Signal Processing Workshop, accepted, 6-8 Oct. 2021. [preprint]
  • Z. Xiao, M. Zhang, H. Jin, C. Guillemot, A light field FDL-HSIFT feature in scale-disparity space, IEEE International Conf. on Image Processing, accepted, Sept. 2021 [preprint].
  • S. Evain, C. Guillemot, Neural Network with Adversarial Loss for Light Field Synthesis from a Single Image, International Conference on Computer Vision Theory and Applications (VISAPP), accepted, Feb. 2021 [preprint].
  • F. Hawary, T. Maugey, C. Guillemot, Spherical feature extraction from 360 fish-eye captures IEEE Multimedia Signal Processing (MMSP) Workshop, Sept. 2020 [preprint].
  • P. David, M. Le Pendu, C. Guillemot, Angularly consistent light field video interpolation, IEEE International Conference on Multimedia and Expo, accepted, July 2020 [preprint].
  • J. Shi, X. Jiang, C. Guillemot, Learning Fused Pixel and Feature-based View Reconstructions for Light Fields, accepted, CVPR 2020. [preprint][supplementary]
  • A. Sagel, A. Roumy,, C. Guillemot, SUB-DIP: Optimization on a Subspace with Deep Image Prior Regularization and application to super-resolution, IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE-ICASSP, accepted, May 2020.[preprint]
  • M. Krivokuca, C. Guillemot, Colour Compression of Plenoptic Point Clouds Using RAHT-KLT With Prior Colour Clustering and Specular/Diffuse Component Separation, IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE-ICASSP, accepted, May 2020.[preprint]
  • H.-N. Nguyen and C. Guillemot, Color and Angular Reconstruction of Light Fields from Incomplete Color Coded Projections, IEEE International Conference on Acoustics, Speech, and Signal Processing, IEEE-ICASSP, accepted, May 2020.[preprint]
  • S. Hajisharif, E. Miandji, C. Guillemot, J. Unger, Single Sensor Compressive Light Field Video Camera, Eurographics, May 2020 (to appear also in the international journal computer graphics forum) [preprint].
  • J. Shi, X. Jiang, C. Guillemot, A framework for learning depth from a flexible subset of dense and sparse light field views, IEEE Trans. on Image Processing, vol. 28, No. 12, pp. 5867-5880, June 2019. Also presented at IEEE ICIP, Sept. 2019 in the session for invited presentations of papers published in the journal IEEE Trans. on Image Processing. [preprint; more].
  • E. Dib, M. Le Pendu, C.Guillemot, Light field Compression using Fourier Disparity Layers, IEEE International Conf. on Image Processing, 22-25 Sept. 2019.[preprint]
  • P. David, M. Le Pendu, C.Guillemot, Sparse to dense scene flow estimation from light fields, IEEE International Conf. on Image Processing, 22-25 Sept. 2019. [preprint]
  • M. Rizkallah, T. Maugey, C. Guillemot, Graph-based Spatio-angular Prediction for Quasi-Lossless Compression of Light Fields, Data Compression Conference, DCC, 26-29 March 2019 [preprint].
  • E. Dib, M. Le Pendu, X. Jiang, C. Guillemot, Super-rays based low rank approximation for light fields compression, Data Compression Conference, DCC, 26-29 March 2019 [preprint].
  • C. Galea, C. Guillemot, Denoising of 3D point clouds constructed from light fields, IEEE International Conference on Acoustics, Speech, and Signal Processing, 13-17 May 2019. [preprint, more].
  • P. Allain, L. Guillo, C. Guillemot, Light fields denoising using 4D anisotropic diffusion, IEEE International Conference on Acoustics, Speech, and Signal Processing, 13-17 May 2019. [preprint, more].
  • X. Jiang, J. Shi, C. Guillemot, A learning based depth estimation framework for 4D densely and sparsely sampled light fields, IEEE International Conference on Acoustics, Speech, and Signal Processing, 13-17 May 2019. [preprint, more].
  • X. Jiang, C. Galea, L. Guillo, C. Guillemot, 3D scene modeling from dense video light fields, International Conference on 3D Immersion, IC3D, Brussels, 5-5 Dec. 2018 [preprint].
  • P. Allain, L. Guillo, C. Guillemot, Fast light field inpainting using angular warping with a color-guided disparity interpolation, Advanced Concepts for Intelligent Vision Systems, ACIVS, Poitiers, 24-27 Sept. 2018. [preprint, more].
  • X. Su, M. Rizkallah, T. Maugey, C. Guillemot, Rate-Distortion Optimized Super-Ray Merging for Light Field Compression, special session on light field coding , European Signal Processing Conf., EUSIPCO, Roma, 3-7 Sept., 2018. [preprint, more]
  • E. Miandji, J. Unger, C. Guillemot, Multi-Shot Single Sensor Light Field Camera Using a Color Coded Mask, special session on Full Parallax Imaging , European Signal Processing Conf., EUSIPCO, Roma, 3-7 Sept., 2018.[preprint, more]
  • M. Le Pendu, A. Smolic, C. Guillemot, High Dynamic Range Light Fields via Weighted Low Rank Approximation, IEEE International Conf. on Image Processing (ICIP), Athens, 7-10 Oct., 2018.[preprint, more]
  • X. Jiang, M. Le Pendu, C. Guillemot, Depth estimation with occlusion handling from a sparse set of light field views, IEEE International Conf. on Image Processing, Athens, 7-10 Oct., 2018. [preprint, more].
  • M. Rizkallah, X. Su, T. Maugey, C. Guillemot, Graph-based Transforms for Predictive Light Field Compression based on Super-Pixels, IEEE International Conf. on Acoustics, Speech and Signal Processing, Calgary, 15-20 April 2018. [preprint, more].
  • P. David. M. Le Pendu, C. Guillemot, Lenslet white image guided demosaicing for plenoptic cameras, IEEE MultiMedia Signal Processing workshop, MMSP, London, 16-18 Oct. 2017. Best paper award [preprint, more].
  • O. Frigo, C. Guillemot, Epipolar Plane Diffusion: An efficient approach for Light Field Editing, British Machine Vision Conference, BMVC, 4-7 Sept. 2017 [preprint, more].
  • X. Su. M. Rizkallah, T. Maugey, C. Guillemot, Graph-based light fields representation and coding using geometry information, IEEE Int. Conf. on Image Processing, ICIP, Beijing, 17-20 Sept. 2017 [preprint, more].
  • X. Jiang. M. Le Pendu, C. Guillemot, Light Fields Compression Using Depth Image Based View Synthesis, Hot3D workshop held jointly with IEEE Int. Conf. on Multimedia and Expo, ICME, Hong Kong, July 2017. [preprint]
  • Tutorials, Keynotes, Lectures

  • Lecture, Light field compressive acquisition and inverse problems, Computer Engineering Conference at Mid Sweden University, 3rd May 2021.
  • Lecture, Light field Computational Imaging: Acquisition and Inverse Problems, IMT-Atlantique, lecture series on computational imaging, 16 Mar. 2021.
  • Lecture, Compressive acquisition and inverse problems in Light field imaging, Univ. Malta, 20th Nov. 2019.
  • Keynote talk, Light field image processing: overview and research problems, Digital Optical Technologies, Munich, June 24-27, 2019.
  • Keynote talk, Light fields image processing, COmpression and REpresentation of Audio-visual Signals (CORESA), Poitiers, 14 Nov. 2018.
  • IEEE Distinguished lecture, Computational light field imaging, invited by the Croatian and Slovenian IEEE signal processing chapter, at Ljubljana (23rd Oct. 2018) and Zagreb (24th. Oct. 2018).
  • Tutorial on computational light field imaging at Eusipco, Roma, Sept. 2018.
  • Lecture at the IEEE signal processing summer school at Midsweden University, Sundvall, Sweden, May 2018.
  • Seminar at KTH on light field image processing, 23rd March 2018
  • IEEE Distinguished lecture invited by the Italian IEEE signal processing chapter, Cavalese, 22 Jan. 2018
  • Guest lecture at midsweden University on Light field image processing, 15 Nov. 2017.
  • Keynote talk, Towards dense multi-view imaging, Hot3D workshop jointly held with IEEE-ICME, Hong Kong, 10 July 2017.
  • IEEE distinguished lecture, Light field image processing: analysis, representation, compression and editing, summer school, Singapore, 8th July 2017 (rose1.ntu.edu.sg/visva2017/home.asp)
  • IEEE distinguished lecture, Light field image processing, University Autonoma de Barcelona, 30th June 2017.
  • IEEE distinguished lecture, Light field image processing, UPM Madrid, 29th June 2017