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Journal ArticleDOI

A psychophysical evaluation of inverse tone mapping techniques

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TLDR
A psychophysical study is presented to evaluate the performance of inverse (reverse) tone mapping algorithms and to investigate if a high level of complexity is needed and if a correlation exists between image content and quality.
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.

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Citations
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HDR image reconstruction from a single exposure using deep CNNs

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HDR image reconstruction from a single exposure using deep CNNs

TL;DR: In this article, a deep convolutional neural network (CNN) is proposed to predict information that has been lost in saturated image areas, in order to enable HDR reconstruction from a single exposure.
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Special Section on Advanced Displays: A survey on computational displays: Pushing the boundaries of optics, computation, and perception

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Evaluation of reverse tone mapping through varying exposure conditions

TL;DR: It is shown that current rTMO approaches fall short when the input image is not exposed properly, and proposed a method to automatically set a suitable gamma value for each image, based on the image key and empirical data, which enhances visible details without causing artifacts in incorrectly-exposed regions.
References
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Book

Nonparametric statistics for the behavioral sciences

Sidney Siegel
TL;DR: This is the revision of the classic text in the field, adding two new chapters and thoroughly updating all others as discussed by the authors, and the original structure is retained, and the book continues to serve as a combined text/reference.
Journal ArticleDOI

A law of comparative judgment

TL;DR: The law of comparative judgment as mentioned in this paper is applicable not only to the comparison of physical stimulus intensities but also to qualitative comparative judgments such as those of excellence of specimens in an educational scale.
Proceedings ArticleDOI

Recovering high dynamic range radiance maps from photographs

TL;DR: This work discusses how this work is applicable in many areas of computer graphics involving digitized photographs, including image-based modeling, image compositing, and image processing, and demonstrates a few applications of having high dynamic range radiance maps.
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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