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A psychophysical evaluation of inverse tone mapping techniques

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Banterle, Francesco, Ledda, Patrick, Debattista, Kurt, Bloj, Marina, Artusi, Alessandro and Chalmers, Alan (2009) A psychophysical evaluation of inverse tone mapping techniques. Computer Graphics Forum, Vol.28 (No.1). pp. 13-25. doi:10.1111/j.1467-8659.2008.01176.x

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Official URL: http://dx.doi.org/10.1111/j.1467-8659.2008.01176.x

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Abstract

In recent years inverse tone mapping techniques have been proposed for enhancing low-dynamic range (LDR) content for a high-dynamic range (HDR) experience on HDR displays, and for image based lighting. In this paper, we present a psychophysical study to evaluate the performance of inverse (reverse) tone mapping algorithms. Some of these techniques are computationally expensive because they need to resolve quantization problems that can occur when expanding an LDR image. Even if they can be implemented efficiently on hardware, the computational cost can still be high. An alternative is to utilize less complex operators; although these may suffer in terms of accuracy. Our study investigates, firstly, if a high level of complexity is needed for inverse tone mapping and, secondly, if a correlation exists between image content and quality. Two main applications have been considered: visualization on an HDR monitor and image-based lighting.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)
Journal or Publication Title: Computer Graphics Forum
Publisher: Wiley-Blackwell Publishing, Inc.
ISSN: 0167-7055
Official Date: March 2009
Dates:
DateEvent
March 2009Published
Volume: Vol.28
Number: No.1
Number of Pages: 13
Page Range: pp. 13-25
DOI: 10.1111/j.1467-8659.2008.01176.x
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Funder: Engineering and Physical Sciences Research Council (EPSRC)
Grant number: EP/D032148 (EPSRC)

Data sourced from Thomson Reuters' Web of Knowledge

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