NDLI: On the perceptual similarity of realistic looking tone mapped High Dynamic Range images

Content Provider	IEEE Xplore Digital Library
Author	Barkowsky, M. Le Callet, P.
Copyright Year	2010
Description	Author affiliation: Polytech' Nantes / IRCCyN CNRS UMR 6597, 44306 Nantes, France (Barkowsky, M.; Le Callet, P.)
Abstract	High Dynamic Range (HDR) images are usually displayed on conventional Low Dynamic Range (LDR) displays because of the limited availability of HDR displays. For the conversion of the large dynamic luminance range into the eight bit quantized values, parameterized Tone Mapping Operators (TMO) are applied. Human observers are able to optimize the parameters in order to get the highest Quality of Experience by judging the displayed LDR images on a realism scale. In the study presented in this paper, two TMOs with three parameters each were evaluated by observers in a subjective experiment. Although the chosen parameter settings vary largely, the chosen images appear to have the same QoE for the observers. In order to assess this similarity objectively, three commonly used image quality measurement algorithms were applied. Their agreement with the preference of the observers was analyzed and it was found that the Visual Difference Predictor (VDP) outperforms the Structural Similarity Index and the Root Mean Square Error. A threshold value for VDP is derived that indicates when two LDR images appear to have the same Quality of Experience.
Starting Page	3245
Ending Page	3248
File Size	164574
Page Count	4
File Format	PDF
ISBN	9781424479924
ISSN	15224880
e-ISBN	9781424479948
e-ISBN	9781424479931
DOI	10.1109/ICIP.2010.5651143
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-09-26
Publisher Place	Hong Kong
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Observers Image quality Dynamic range Algorithm design and analysis Pixel Humans Prediction algorithms Subjective Experiment High Dynamic Range Tone Mapping Operators Quality of Experience Objective Image Quality
Content Type	Text
Resource Type	Article

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