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Tone mapping

About: Tone mapping is a research topic. Over the lifetime, 1713 publications have been published within this topic receiving 48490 citations.


Papers
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Proceedings ArticleDOI
23 Aug 2004
TL;DR: The filling method uses the gradient information of the visible regions and recovers the saturated regions by the energy minimization approach, and shows that the fusion method is simple and practical to make a HDR image, if the authors have two proper exposure images.
Abstract: We present a method of extending the dynamic range of a picture with two different exposure images. Since pictures under different exposure times show different scene dynamic ranges, if we make use of the visible information of each different exposure image, we can recover a high dynamic range image which contains what cannot be visualized by an auto-exposure time. In this method, we did not follow the ordinary fusion methods, which were based on multi-layered or radiance map based approach of multiple images. Instead, we used the filling method of undesirable regions of an auto-exposure picture, preserving its overall image quality. Our filling method uses the gradient information of the visible regions and recovers the saturated regions by the energy minimization approach. The results show that our fusion method is simple and practical to make a HDR image, if we have two proper exposure images.

28 citations

Proceedings ArticleDOI
02 May 2012
TL;DR: The results of the experiments show that HDR imaging techniques improve the repeatability rate of feature point detectors significantly, compared to standard low dynamic range imagery techniques.
Abstract: This paper evaluates the suitability of High Dynamic Range (HDR) imaging techniques for feature point detection under extreme lighting conditions. The conditions are extreme in respect to the dynamic range of the lighting within the test scenes used. This dynamic range cannot be captured using standard low dynamic range imagery techniques without loss of detail. Four widely used feature point detectors are used in the experiments: Harris corner detector, Shi-Tomasi, FAST and Fast Hessian. Their repeatability rate is studied under changes of camera viewpoint, camera distance and scene lighting with respect to the image formats used. The results of the experiments show that HDR imaging techniques improve the repeatability rate of feature point detectors significantly.

28 citations

Journal ArticleDOI
TL;DR: The results of the experiments show that current FP detectors cannot cope with HDR images well, and the best contemporary solution is thus tone mapping of HDR images using a local tone mapper as a pre-processing step.

28 citations

Patent
06 May 2008
TL;DR: In this article, an image brightness control device is proposed to improve the definition of brightness so as to correspond to the characteristic of the input image, by automatically considering how to reflect a distribution characteristic of an image.
Abstract: Provided are an image brightness control device and an image brightness control method for improving the definition of brightness of the entire image and/or improving the definition of brightness of local areas using local brightness information. The image brightness controlling device includes: a preprocessing unit acquiring an offset table for controlling a dynamic range corresponding to an image range of an input image using brightness values of color data of the input image; and a tone mapping unit mapping the offset table onto the color data. It is possible to improve the definition of brightness so as to correspond to the characteristic of the input image, by automatically considering how to reflect a distribution characteristic of an image.

28 citations

Journal ArticleDOI
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.
Abstract: Tone-mapping operators (TMOs) are designed to generate perceptually similar low-dynamic-range images from high-dynamic-range ones. We studied the performance of 15 TMOs in two psychophysical experiments where observers compared the digitally generated tone-mapped images to their corresponding physical scenes. All experiments were performed in a controlled environment, and the setups were designed to emphasize different image properties: in the first experiment we evaluated the local relationships among intensity levels, and in the second one we evaluated global visual appearance among physical scenes and tone-mapped images, which were presented side by side. We ranked the TMOs according to how well they reproduced the results obtained in the physical scene. Our results show that ranking position clearly depends on the adopted evaluation criteria, which implies that, in general, these tone-mapping algorithms consider either local or global image attributes but rarely both. Regarding the question of which TMO is the best, KimKautz ["Consistent tone reproduction," in Proceedings of Computer Graphics and Imaging (2008)] and Krawczyk ["Lightness perception in tone reproduction for high dynamic range images," in Proceedings of Eurographics (2005), p. 3] obtained the better results across the different experiments. We conclude that 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.

28 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202330
202274
202167
202089
2019120
2018119