Mikael Le Pendu

16th October 2017

Position: Postdoctoral Research Fellow
Location: Stack B, Custom House Quay
Email: lependum@scss.tcd.ie
Skype: live:mikael.lependu

Google Scholar | ResearchGate | LinkedIn | GitHub

Content

Biography
Research Topics
Publications

Biography

I am a Research Fellow in the V-SENSE project at the School of Computer Science and Statistics in Trinity College Dulin.

I received the Engineering degree from Ecole Nationale Supérieure des Mines (ENSM) de Nantes, France in 2012 and my PhD degree in computer science from University of Rennes 1, Rennes, France in 2016. My PhD studies were conducted in conjunction between INRIA (Institut National de Recherche en Informatique et en Automatique) and Technicolor in Rennes, France, and addressed the compression of High Dynamic Range video content. I then stepped into the vast topic of light fields as a postdoctoral researcher at INRIA Rennes, before joining the V-SENSE team.

Research Topics

My research interests are in light fields as well as high dynamic range (HDR) imaging and cover a large spectrum of the processing chain from capture to compression, including editing tasks and rendering.

Detail on my previous research projects at INRIA can be found here.

Publications

Scientific Journal Papers

  • P. David, M. Le Pendu and C. Guillemot
    “Scene Flow Estimation from Sparse Light Fields Using a Local 4D Affine Model”
    IEEE Transactions on Computational Imaging, 2020.
  • P. Matysiak, M. Grogan, M. Le Pendu, M. Alain, E. Zerman, A. Smolic
    “High Quality Light Field Extraction and Post-Processing for Raw Plenoptic Data”
    IEEE Transactions on Image Processing, 2020, 29, pp.4188-4203.
    paper | project page | code
  • M. Le Pendu, C. Guillemot, A. Smolic
    “A Fourier Disparity Layer representation for Light Fields”
    IEEE Transactions on Image Processing, Nov. 2019, 28(11), pp.5740-5753.
    paper | project page | code
  • M. Le Pendu, X. Jiang and C. Guillemot
    “Light Field inpainting propagation via Low Rank Matrix completion”
    IEEE Transactions on Image Processing, Apr. 2018, 27(4), pp.1981-1993.
    paper | project page | code
  • X. Jiang, M. Le Pendu, R. Farrugia, and C. Guillemot
    “Light Field Compression with Homography-based Low Rank Approximation”
    IEEE Journal of Selected Topics in Signal Processing, Oct. 2017, 11(7), pp.1132-1145.
    paper | project page | code
  • M. Le Pendu, C. Guillemot and D. Thoreau
    “Inter-Layer Prediction of Color in High Dynamic Range Image Scalable Compression”
    IEEE Transaction on Image Processing, Aug. 2016, 25 (8), pp.3585-3596.
  • M. Le Pendu, C. Guillemot and D. Thoreau
    “Local Inverse Tone Curve Learning for High Dynamic Range Image Scalable Compression”
    IEEE Transactions on Image Processing, Dec. 2015, 24 (12), pp.5753-5763.

Conference Papers

  • M. Le Pendu, C. Ozcinar and A. Smolic
    “Hierarchical Fourier Disparity Layer Transmission for Light Field Streaming”
    IEEE International Conference on Image Processing (ICIP), Oct. 2020.
    paper | project page
  • P. David, M. Le Pendu and C. Guillemot
    “Angularly consistent light field video interpolation”
    IEEE International Conference on Multimedia and Expo (ICME), Jul. 2020, London, UK.
  • M. Le Pendu and A. Smolic
    “High Resolution Light Field Recovery with Fourier Disparity Layer Completion, Demosaicing, and Super-Resolution”
    IEEE International Conference on Computational Imaging (ICCP), Apr. 2020, Saint Louis, US.
    paper | project page | code | talk
  • E. Dib, M. Le Pendu and C. Guillemot
    “Light field Compression using Fourier Disparity Layers”
    Finalist for the Best Student Paper Award at IEEE International Conference on Image Processing (ICIP), Sep. 2019, Taipei, Taiwan.
  • P. David, M. Le Pendu and C. Guillemot
    “Sparse to dense scene flow estimation from light fields”
    Top 10% paper at IEEE International Conference on Image Processing (ICIP), Sep. 2019, Taipei, Taiwan.
    paper | dataset
  • E. Dib, M. Le Pendu, X. Jiang and C. Guillemot
    “Super-ray based low rank approximation for light field compression”
    Data Compression Conference (DCC), Mar. 2019, Snowbird, Utah, USA.
  • M. Le Pendu, C. Guillemot and A. Smolic
    “High Dynamic Range Light Fields via Weighted Low Rank Approximation”
    IEEE International Conference on Image Processing (ICIP), Oct. 2018, Athens, Greece.
    paper | project page
  • P. Matysiak, M. Grogan, M. Le Pendu, M. Alain and A. Smolic,
    “A Pipeline for Lenslet Light Field Quality Enhancement”
    IEEE International Conference on Image Processing (ICIP), Oct. 2018, Athens, Greece.
    paper | project page | code
  • X. Jiang, M. Le Pendu, C. Guillemot
    “Depth estimation with occlusion handling from a sparse set of light field views”
    IEEE International Conference on Image Processing (ICIP), Oct. 2018, Athens, Greece.
    paper | project page
  • P. David, M. Le Pendu and C. Guillemot
    “White Lenslet Image Guided Demosaicing for Plenoptic Cameras”
    Best Paper Award at MMSP 2017 – IEEE 19th International Workshop on Multimedia Signal Processing, Oct. 2017, Luton, United Kingdom.
    paper | project page | code
  • X. Jiang, M. Le Pendu, C. Guillemot
    “Light field compression using depth image based view synthesis”
    IEEE International Conference on Multimedia & Expo Workshops (ICMEW), Jul. 2017, Hong Kong, China.
  • X. Jiang, M. Le Pendu, R. Farrugia, S. Hemami, and C. Guillemot
    “Homography-based Low Rank Approximation of Light Fields for Compression”
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Mar. 2017, New Orleans, USA.
    paper | project page | code
  • M. Le Pendu, C. Guillemot and D. Thoreau
    “Template based Inter-Layer Prediction for High Dynamic Range Scalable compression”
    Top 10% paper at IEEE International Conference on Image Processing (ICIP), Sep. 2015, Quebec, Canada.
  • M. Le Pendu, C. Guillemot and D. Thoreau
    “Rate Distortion Optimized Tone Curve for High Dynamic Range Compression”
    22nd European Signal Processing Conference (EUSIPCO), Sep. 2014, Lisbon, Portugal.
  • M. Le Pendu, C. Guillemot and D. Thoreau
    “Adaptive Re-Quantization For High Dynamic Range Video Compression”
    IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), May 2014, Florence, Italy.
    paper | project page

Patents (granted)

  • Method for encoding and decoding image block, encoder and decoder, EP2958329 / US2015365701

Patent Applications

  • Methods, systems and apparatus for determining prediction adjustment factors, US2016277767 / EP3096518
  • Scalable encoding and decoding methods and corresponding devices with combined intraprediction and interlayer prediction, EP3026913 / WO2016083229
  • Method and apparatus for encoding and decoding HDR images, EP2927865/ WO2015128295 / TW201543867 / CN106062816 / JP2017509057 / KR20160125399 / US2016371822
  • Method and device for predictive coding/decoding of a group of pictures of a sequence of images with conversion of the dynamic of the values of the pixel, EP3063940 / WO2015062942 / US2017264911
  • Method and device for encoding an image, method and device for decoding an image, EP3119088
  • Procédé de traitement d’une séquence d’images, programme d’ordinateur et dispositif de traitement correspondants, FR3009471
  • Method and apparatus for encoding and decoding a Light Field Based image, and corresponding computer program product, EP3350999 / US2018255319 / CN108353189 / JP2018530963 /
    KR20180053699 / WO2017046175
  • Method and apparatus for determining prediction of current block of enhancement layer, US2018199032 / CN107950025 / EP3113492 / JP2018524916 / KR20180021733 / WO2017001344
  • Method for adapting a luminance of a multimedia content, corresponding computer program product and apparatus, EP3316248 / WO2018077876
  • Coding of intra modes, EP3032830 / WO2016091727 / US2017366807 / CN107113438 / JP2018501710 / KR20170093833
  • Method for local inter-layer prediction intra based, EP3301925 / WO2018060051
  • Methods for coding and for decoding an image block and corresponding devices, EP3197159
  • Method and apparatus for improving the prediction of a block of the enhancement layer, EP2991354 / WO2016030301
  • Procédé et dispositif de codage d’images vidéo, procédé et dispositif de décodage d’un flux de données, programme d’ordinateur et support de stockage correspondants, FR3012935
  • Method for coding and decoding floating data of an image block and associated devices, WO2015052064