Loïc Baboulaz
contact address:

Publications (related videos can be found below)

H. Akhondi Asl, P.L. Dragotti and L. Baboulaz, Multichannel Sampling of Signals with Finite Rate of Innovation, IEEE Signal Processing Letter, Vo. 17(8), pp. 762-765, August 2010.** [BibTeX]

L. Baboulaz and P.L. Dragotti, Exact Feature Extraction using Finite Rate of Innovation Principles with an Application to Image Super-resolution, IEEE Transactions on Image Processing, Vo. 18(2), pp. 281-298, February 2009.** [BibTeX]

P. Vandewalle, L. Baboulaz, P.L. Dragotti and M. Vetterli, Subspace-Based Methods for Image Registration and Super-Resolution, Proc. of IEEE International Conference on Image Processing (ICIP), San Diego, USA, October 2008.** [BibTeX]

L. Baboulaz and P.L. Dragotti, Local Feature Extraction for Image Super-Resolution, Proc. of IEEE International Conference on Image Processing (ICIP), San Antonio, USA, September 2007.** [BibTeX]

L. Baboulaz and P.L. Dragotti, Image Super-Resolution with B-Spline kernels, in Proc. of 7th IMA International Conference on Mathematics in Signal Processing, Cirencester, UK, December 2006. [BibTeX]

L. Baboulaz and P.L. Dragotti, Distributed Acquisition and Image Super-Resolution Based on Continuous Moments from Samples, in Proc. of IEEE International Conference on Image Processing (ICIP), Atlanta, USA, October 2006.** [BibTeX]

L. Baboulaz and P.L. Dragotti, Beyond Vision with New Image Super-Resolution Algorithms, 9th Great British Research Show for Early-Stage Researchers, SET for Europe,  House of Commons, Westminster, London, UK, March 2007.
GlaxoSmithKline/SET Commendation Award recognizing Excellence of Early-Stage Researchers.
[press release] 

L. Baboulaz and P.L. Dragotti, Distributed Acquisition and Image Super-Resolution with Sampling Kernels reproducing Polynomials, WavE 2006 Wavelets and Applications Conference, EPFL, Lausanne, Switzerland, July 2006.
EPFL/Bernoulli Center Travel Grant Award.

PhD thesis

L. Baboulaz, Feature Extraction for Image Super-resolution using Finite Rate of Innovation Principles, PhD thesis, Department of Electrical and Electronic Engineering, Imperial College London, 2008.

Press releases

New Scientist, The future of photography (part 2) by Colin Barras, 16 September 2008.

Le Temps (Switzerland), Du son et de l'image en numérique prêts à retrouver la précision de l'analogique by Ghislaine Bloch, 18 March 2008 (in French).

New Scientist, Blurry X-rays become clear with new software by Tom Simonite, 21 December 2007.
       - Related New Scientist videos on YouTube: video round-up (21 December 2007).

Some videos related to my work

1. Image super-resolution:

2. Affine registration of low-resolution images (artificial data):

3. Distributed acquisition of bilevel polygonal images (artificial data):

note: free video codec for the DivX format can found here.

  Personal pictures of Imperial College
  • Queen's Tower / Sherfield building / EEE building: low-res (800x698px)  /  hi-res (4578x4000px),
  • Faculty building / EEE building / Bessemer building: low-res (1280x512px)  /  hi-res (4836x1932px),
  • The Queen's Tower from EEE building at sunset: low-res (800x351px)  /  hi-res (4536x1908px),
... and a picture taken between 1902 and 1906 of the original Imperial Institute with the Queen's Tower (obviously I didn't take this one...): Imperial Institute.
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This page was last updated on October, 2010.