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Journal ArticleDOI

Testing tone mapping operators with human-perceived reality

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TLDR
A psychophysical experiment based on a direct comparison between the appearance of real-world scenes and HDR images of these scenes displayed on an LDR monitor indicates substantial differences in the perception of images produced by individual tone mapping operators.
Abstract
A number of successful tone mapping operators for con- trast compression have been proposed due to the need to visualize high dynamic range (HDR) images on low dynamic range (LDR) devices. They were inspired by fields as diverse as image process- ing, photographic practice, and modeling of the human visual sys- tems (HVS). The variety of approaches calls for a systematic per- ceptual evaluation of their performance. We conduct a psychophysical experiment based on a direct comparison between the appearance of real-world scenes and HDR images of these scenes displayed on an LDR monitor. In our experiment, HDR im- ages are tone mapped by seven existing tone mapping operators. The primary interest of this psychophysical experiment is to assess the differences in how tone mapped images are perceived by hu- man observers and to find out which attributes of image appearance account for these differences when tone mapped images are com- pared directly with their corresponding real-world scenes rather than with each other. The human subjects rate image naturalness, overall contrast, overall brightness, and detail reproduction in dark and bright image regions with respect to the corresponding real-world scene. The results indicate substantial differences in the perception of images produced by individual tone mapping operators. We ob- serve a clear distinction between global and local operators—in fa- vor of the latter—and we classify the tone mapping operators ac- cording to naturalness and appearance attributes. © 2007 SPIE and

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Citations
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Journal ArticleDOI

Probabilistic Exposure Fusion

TL;DR: A new scheme to handle HDR scenes by integrating locally adaptive scene detail capture and suppressing gradient reversals introduced by the local adaptation is proposed, which functions as the tone mapping of an HDR image to the SDR image, and it is superior to both global and local tone mapping operators.
Proceedings ArticleDOI

Video viewing preferences for HDR displays under varying ambient illumination

TL;DR: It is found that subjects experienced minimal visual fatigue, and also found statistically significant differences in preferred display settings under different ambient lighting conditions.
Journal ArticleDOI

Which tone-mapping operator is the best? A comparative study of perceptual quality.

TL;DR: More thorough and standardized evaluation criteria are needed to study all the characteristics of TMOs, as there is ample room for improvement in future developments.
Journal ArticleDOI

An interactive approach to investigate brightness perception of daylighting in Immersive Virtual Environments: Comparing subjective responses and quantitative metrics

TL;DR: An interactive approach to collect and visualize brightness perception of daylighting in a large-scale immersive virtual environment, using a game engine as a daylight simulation tool, and illustrating the potentials of immersion and interaction principles for the perception of daylit spaces in virtual reality.
Journal ArticleDOI

Predicting Display Visibility Under Dynamically Changing Lighting Conditions

TL;DR: An objective method for display visibility analysis formulating the problem as a full‐reference image quality assessment problem, where the display emission under “ideal” conditions is used as the reference for real‐life conditions and includes a human visual system model that accounts for maladaptation and temporal recovery of sensitivity.
References
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Journal ArticleDOI

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Proceedings ArticleDOI

Photographic tone reproduction for digital images

TL;DR: The work presented in this paper leverages the time-tested techniques of photographic practice to develop a new tone reproduction operator and uses and extends the techniques developed by Ansel Adams to deal with digital images.
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