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

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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.

More detail on my previous projects at INRIA can be found here.

Publications

Scientific Journal Papers

• M. Le Pendu, X. Jiang and C. Guillemot
  “Light Field inpainting propagation via Low Rank Matrix completion”
  submitted to IEEE Transactions on Image Processing.
• 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 (J-STSP), Aug. 2017.
• 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

• 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.
• 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.
• 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.

Patents

• Method and apparatus for encoding and decoding HDR images, EP3111416 / WO2015128295 / TW201543867 / CN106062816 / JP2017509057 / KR20160125399 / US2016371822
• Method and device for encoding an image, method and device for decoding an image, EP3119088
• Scalable encoding and decoding methods and corresponding devices with combined intraprediction and interlayer prediction, EP3026913 / WO2016083229
• Methods, systems and apparatus for determining prediction adjustment factors, US201615072241
• Method for encoding and decoding image block, encoder and decoder, EP2958329 / US2015365701
• 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