P
Philippe Hanhart
Researcher at École Polytechnique Fédérale de Lausanne
Publications - 46
Citations - 1080
Philippe Hanhart is an academic researcher from École Polytechnique Fédérale de Lausanne. The author has contributed to research in topics: Video quality & Subjective video quality. The author has an hindex of 20, co-authored 46 publications receiving 990 citations. Previous affiliations of Philippe Hanhart include École Normale Supérieure.
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Proceedings ArticleDOI
Subjective quality evaluation of the upcoming HEVC video compression standard
TL;DR: In this paper, the authors provide subjective evaluation results to assess the performance of the current HEVC codec for resolutions beyond HDTV, which is the latest attempt by ISO/MPEG and ITU-T/VCEG to define the next generation compression standard.
Journal ArticleDOI
Benchmarking of objective quality metrics for HDR image quality assessment
TL;DR: It is suggested that the performance of most full-reference metrics can be improved by considering non-linearities of the human visual system, while further efforts are necessary to improve performance of no-reference quality metrics for HDR content.
Journal ArticleDOI
Calculation of average coding efficiency based on subjective quality scores
TL;DR: A model to calculate the average coding efficiency based on subjective quality scores, i.e., mean opinion scores (MOS) based on fItted Curves (SCENIC), which is expected to report more realistic coding efficiency.
Journal ArticleDOI
Overview and evaluation of the JPEG XT HDR image compression standard
Alessandro Artusi,Rafal Mantiuk,Thomas Richter,Philippe Hanhart,Pavel Korshunov,Massimiliano Agostinelli,Arkady Ten,Touradj Ebrahimi +7 more
TL;DR: The paper introduces three of currently defined profiles in JPEG XT, each constraining the common decoder architecture to a subset of allowable configurations, and assess the coding efficiency of each profile extensively through subjective assessments, using 24 naïve subjects to evaluate 20 images and objective evaluations.
Proceedings ArticleDOI
Subjective quality assessment database of HDR images compressed with JPEG XT
Pavel Korshunov,Philippe Hanhart,Thomas Richter,Alessandro Artusi,Rafal Mantiuk,Touradj Ebrahimi +5 more
TL;DR: This paper addresses the limited availability of suitable image datasets for studying and evaluation of HDR image compression by creating a publicly available dataset of 20 HDR images and corresponding versions compressed at four different bit rates with three profiles of the upcoming JPEG XT standard.