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High-dynamic-range imaging

About: High-dynamic-range imaging is a research topic. Over the lifetime, 766 publications have been published within this topic receiving 22577 citations.


Papers
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Proceedings ArticleDOI
TL;DR: The results showed that luminance maps of a room can be efficiently assessed under dynamic daylight and mixed day- and electric lighting conditions in a very short time, when compared to classical HDR imaging techniques.
Abstract: High dynamic range imaging has been shown to be a reliable tool to assess luminance maps and glare risk probability in buildings. However, there are some limitations of image capturing time, especially when dealing with highly dynamic and contrasted daylight situations. We used a newly developed prototype of a digital camera which contains a high dynamic range pixel array chip, with a logarithmic scale for encoding. This type of camera allows to effectively assessing luminance, contrast and contrast directions, by taking only a single image or by performing real time recordings. The device was equipped with a fisheye lens and V-lambda filters to adapt the camera’s spectral sensitivity to the human eye. After spectral as well as photometric calibration and vignetting correction, the device was tested to perform luminance mapping of real scenes. The results showed that luminance maps of a room can be efficiently assessed under dynamic daylight and mixed day- and electric lighting conditions in a very short time (i.e. 100 ms), when compared to classical HDR imaging techniques. This allows us to calculate glare indexes of a scene simultaneously. The camera opens a variety of new applications as a useful tool for architects, building designers and lighting experts. The device can be used to easily monitor daylight availability and glare indexes in existing buildings and further developments for advanced (day-) lighting control can be envisaged.

15 citations

Patent
03 Nov 2014
TL;DR: In this article, techniques for improved focusing of camera arrays are described, which include a processor circuit, a camera array, and an imaging management module for execution on the processor circuit to capture an array of images from the camera array.
Abstract: Techniques for improved focusing of camera arrays are described. In one embodiment, a system may include a processor circuit, a camera array, and an imaging management module for execution on the processor circuit to capture an array of images from the camera array, the array of images comprising first and second images taken with first and second values of an exposure parameter, respectively, the first value different than the second value, to estimate a noise level, to normalize an intensity of each image based upon the noise level of the respective image, to produce a respective normalized image, to identify candidate disparities in each of the respective normalized images, to estimate a high dynamic range (HDR) image patch for each candidate disparity, and to compute an error from the HDR image patch and an objective function, to produce a disparity estimate. Other embodiments are described and claimed.

14 citations

Journal ArticleDOI
TL;DR: A new approach to image fusion from a series of photographs of the same scene taken at different timestamps, called HTRI (High Time Range Imaging), which aims at capturing ephemeral events occurring over a long time period during which a sequence of images is shot.

14 citations

Dissertation
01 Jan 2008
TL;DR: A chronology of key events and stories from the reporting and editing of the Pulitzer Prize-winning book, “Jurassic Park’s Making of a Movie” (2003):.
Abstract: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 RESUMO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10

14 citations

Proceedings ArticleDOI
TL;DR: This work presents a method to recover full high dynamic range (HDR) images from dynamic scenes, even in moving regions, and shows that Image Mapping Function approach detects best motion regions while Normalized Cross Correlation the best deal speed-accuracy for image registration.
Abstract: The limited dynamic range of digital images can be extended by composing photographs of the same scene takenwith the same camera at the same view point at di erent exposure times. This is a standard procedure forstatic scenes but a challenging task for dynamic ones. Several methods have been presented but few recover highdynamic range within moving areas. We present a method to recover full high dynamic range (HDR) imagesfrom dynamic scenes, even in moving regions. Our method has 3 steps. Firstly, areas a ected by motion aredetected to generate a ghost mask. Secondly, we register dynamic objects over a reference image (the best exposedimage in the input sequence). Thirdly, we combine the registered input photographs to recover HDR values ina whole image using a weighted average function. Once matching is found, the assembling step guarantees thatall aligned pixels will contribute to the nal result, including dynamic content. Tests were made on more than20 sets of sequences, with moving cars or pedestrians and di erent background. Our results show that ImageMapping Function approach detects best motion regions while Normalized Cross Correlation o ers the best dealspeed-accuracy for image registration. Results from our method o ers better result when moving object areroughly rigid and their movement is mostly rigid. The nal composition is an HDR image with no ghosting andall dynamic content present in HDR values.Keywords: Computational Photography, High Dynamic Range Imaging, Movement Detection, Image Regis-tration

14 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202333
202260
202129
202034
201937
201837