NDLI: Evaluating the Color Fidelity of ITMOs and HDR Color Appearance Models

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Evaluating the Color Fidelity of ITMOs and HDR Color Appearance Models

Content Provider	ACM Digital Library
Author	Pouli, Tania Abebe, Mekides Assefa Kervec, Jonathan
Copyright Year	2015
Description	Author Affiliation: Technicolor(Technicolor research & innovation and université de poitiers (abebe, Mekides Assefa; Kervec, Jonathan); Pouli, Tania)
Abstract	With the increasing availability of high-dynamic-range (HDR) displays comes the need to remaster existing content in a way that takes advantage of the extended range of luminance and contrast that such displays offer. At the same time, it is crucial that the creative intent of the director is preserved through such changes as much as possible. In this article, we compare several approaches for dynamic range extension to assess their ability to correctly reproduce the color appearance of standard dynamic range (SDR) images on HDR displays. A number of state-of-the-art inverse tone mapping operators (ITMOs) combined with a standard chromatic adaptation transform (CAT) as well as some HDR color appearance models have been evaluated through a psychophysical study, making use of an HDR display as well as HDR ground-truth data. We found that global ITMOs lead to the most reliable performance when combined with a standard CAT, while more complex methods were found to be more scene dependent, and often less preferred than the unprocessed SDR image. HDR color appearance models, albeit being the most complete solutions for accurate color reproduction, were found to not be well suited to the problem of dynamic range expansion, suggesting that further research may be necessary to provide accurate color management in the context of inverse tone mapping.
Starting Page	1
Ending Page	16
Page Count	16
File Format	PDF
ISSN	15443558
e-ISSN	15443965
DOI	10.1145/2808232
Volume Number	12
Issue Number	4
Journal	ACM Transactions on Applied Perception (TAP)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-09-08
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Color appearance modeling ITMO High-dynamic-range imaging Subjective evaluation
Content Type	Text
Resource Type	Article
Subject	Experimental and Cognitive Psychology Theoretical Computer Science Computer Science

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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