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


Research Topics


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.


Scientific Journal Papers

Conference Papers

  • E. Dib, M. Le Pendu, X. Jiang and C. Guillemot
    “Super-ray based low rank approximation for light field compression”
    accepted to 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 decoderEP2958329 / 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 predictionEP3026913 / 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 pixelEP3063940 / WO2015062942 / US2017264911
  • Method and device for encoding an image, method and device for decoding an imageEP3119088
  • 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 apparatusEP3316248 / 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