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Illustration de l'actualité : PhD defense Aakanksha Rana : High Dynamic Range Image Analysis

PhD defense Aakanksha Rana : High Dynamic Range Image Analysis

jeudi
15
mars
2018

PhD Comics : I'm defending my thesis, Mom !

Jury

Reviewers

  • Mme. Sabine SUSSTRUNK, Professeur, Ecole Polytechnique Fédérale de Lausanne..
  • M. Rafal MANTIUK, Senior Lecturer, University of Cambridge.

Examiners

  • Mme. Céline LOSCOS, Professeur, Université de Reims Champagne-Ardenne.
  • M. Alan CHALMERS, Professeur, : University of Warwick.
  • M. Frédéric DUFAUX, Directeur de recherche, CNRS - CentraleSupelec – UPSud. (Supervisor)
  • Co-Encadrant: M. Giuseppe VALENZISE, Chargé de recherche, CNRS - CentraleSupelec – UPSud (Co-Supervisor)

Abstract

High Dynamic Range (HDR) imaging enables to capture a wider dynamic range and color gamut, thus enabling us to draw on subtle, yet discriminating details present both in the extremely dark and bright areas of a scene. Such property is of potential interest for computer vision algorithms where performance degrades substantially when the scenes are captured using traditional low dynamic range (LDR) imagery. While such algorithms have been exhaustively designed using traditional LDR images, little work has been done so far in context of HDR content. In this thesis, we present the quantitative and qualitative analysis of HDR imagery for such task-specific algorithms.