Special Issue "Theory and Practice of High-Dynamic Range Imaging"

A special issue of Journal of Imaging (ISSN 2313-433X).

Deadline for manuscript submissions: closed (30 November 2017)

Special Issue Editor

Guest Editor
Dr. Céline Loscos

University of Reims Champagne-Ardenne, CReSTIC laboratory, 51100 Reims, France
Website | E-Mail
Interests: high-dynamic range imaging; 3D video; virtual reality; inverse illumination; rendering in computer graphics; computational photography

Special Issue Information

Dear Colleagues,

High-dynamic range (HDR) imaging has been successfully researched for the last 30 years. Early algorithms are now integrated in widely, publicly distributed software. HDR displays are available on the market. However, there remain fundamental issues to solve. This Special Issue targets papers that bring these remaining issues and stimulating future trends to light.

We encourage submissions of original contributions to HDR imaging at large, and related areas. We invite papers on new ideas, presented in different formats: Theoretical papers, practice, experience, technological or research systems, and surveys. Papers will follow a peer review process. Only original papers presenting novel contributions will be considered. Extensions of previously accepted papers in conferences or workshops should justify additional content.

They could present solutions to any of the different stages of HDR imaging, such as acquisition, encoding, display, quality of experience, evaluation metrics, compression, transmission, tone mapping, editing, etc. They could address any supporting media: Image, video, lightfield, etc. Papers are also sought on novel contributions on practical solutions and new usages of HDR imaging, for instance, on how HDR imaging integrates new media and applications.

Dr. Celine Loscos
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Imaging is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) is waived for well-prepared manuscripts submitted to this issue. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • HDR acquisition
  • HDR video
  • HDR encoding
  • HDR display
  • HDR quality of experience
  • HDR metrics
  • HDR compression
  • HDR Tone mapping
  • HDR in computational photography
  • HDR editing
  • Applications of HDR imaging
  • Environment maps

Published Papers (2 papers)

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Research

Open AccessArticle High-Dynamic-Range Spectral Imaging System for Omnidirectional Scene Capture
J. Imaging 2018, 4(4), 53; https://doi.org/10.3390/jimaging4040053
Received: 15 December 2017 / Revised: 20 February 2018 / Accepted: 21 March 2018 / Published: 23 March 2018
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Abstract
Omnidirectional imaging technology has been widely used for scene archiving. It has been a crucial technology in many fields including computer vision, image analysis and virtual reality. It should be noted that the dynamic range of luminance values in a natural scene is
[...] Read more.
Omnidirectional imaging technology has been widely used for scene archiving. It has been a crucial technology in many fields including computer vision, image analysis and virtual reality. It should be noted that the dynamic range of luminance values in a natural scene is quite large, and the scenes containing various objects and light sources consist of various spectral power distributions. Therefore, this paper proposes a system for acquiring high dynamic range (HDR) spectral images for capturing omnidirectional scenes. The system is constructed using two programmable high-speed video cameras with specific lenses and a programmable rotating table. Two different types of color filters are mounted on the two-color video cameras for six-band image acquisition. We present several algorithms for HDR image synthesis, lens distortion correction, image registration, and omnidirectional image synthesis. Spectral power distributions of illuminants (color signals) are recovered from the captured six-band images based on the Wiener estimation algorithm. In this paper, we present two types of applications based on our imaging system: time-lapse imaging and gigapixel imaging. The performance of the proposed system is discussed in detail in terms of the system configurations, acquisition time, artifacts, and spectral estimation accuracy. Experimental results in actual scenes demonstrate that the proposed system is feasible and powerful for acquiring HDR spectral scenes through time-lapse or gigapixel omnidirectional imaging approaches. Finally, we apply the captured omnidirectional images to time-lapse spectral Computer Graphics (CG) renderings and spectral-based relighting of an indoor gigapixel image. Full article
(This article belongs to the Special Issue Theory and Practice of High-Dynamic Range Imaging)
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Graphical abstract

Open AccessArticle Application of High-Dynamic Range Imaging Techniques in Architecture: A Step toward High-Quality Daylit Interiors?
J. Imaging 2018, 4(1), 19; https://doi.org/10.3390/jimaging4010019
Received: 29 November 2017 / Revised: 22 December 2017 / Accepted: 10 January 2018 / Published: 12 January 2018
Cited by 3 | PDF Full-text (8174 KB) | HTML Full-text | XML Full-text
Abstract
High dynamic range (HDR) imaging techniques are nowadays widely used in building research to capture luminances in the occupant field of view and investigate visual discomfort. This photographic technique also makes it possible to map sky luminances. Such images can be used for
[...] Read more.
High dynamic range (HDR) imaging techniques are nowadays widely used in building research to capture luminances in the occupant field of view and investigate visual discomfort. This photographic technique also makes it possible to map sky luminances. Such images can be used for illuminating virtual scenes; the technique is called image-based lighting (IBL). This paper presents a work investigating IBL in a lighting quality research context for accelerating the development of appearance-driven performance indicators. Simulations were carried out using Radiance software. The ability of IBL to accurately predict indoor luminances is discussed by comparison with luminances from HDR photographs and luminances predicted by simulation in modeling the sky in several other more traditional ways. The present study confirms previous observations that IBL leads to similar luminance values than far less laborious simulations in which the sky is modeled based on outdoor illuminance measurements. IBL and these last methods minimize differences with HDR photographs in comparison to sky modeling not based on outdoor measurements. Full article
(This article belongs to the Special Issue Theory and Practice of High-Dynamic Range Imaging)
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