Special Issue "High Dynamic Range Imaging"

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

Deadline for manuscript submissions: 1 November 2021.

Special Issue Editors

Prof. Dr. Rémi Cozot
E-Mail Website
Guest Editor
LISIC, University of Littoral, Opal Cost, France
Interests: HDR imaging; applied visual perception; image aesthetics; computer graphics
Prof. Dr. Olivier Le Meur
E-Mail Website
Guest Editor
Univ Rennes, CNRS, IRISA, Rennes, France
Interests: applied visual perception; visual attention; saliency-based applications
Prof. Dr. Christophe Renaud
E-Mail Website
Guest Editor
LISIC, University of Littoral, Opal Cost, France
Interests: computer graphics; global illumination; image quality assessment; applied visual perception; virtual heritage

Special Issue Information

Dear Colleagues,

Since the early 2000s, high dynamic range imagery has been a highly active research topic that has already generated many scientific publications and many image-processing algorithms. Thanks to these breakthroughs, HDR imagery has spread to all digital imagery domains: capture, image processing, editing, computer vision, compression, and quality metrics. Today, there are a number of HDR imagery standards that are dedicated to broadcast, display and movie theaters to name a couple. 

Even if many methods have been proposed to process, to compress or to retarget HDR images (such as tone mapping HDR content to SDR and SDR tone expansion to HDR), there are still a number of challenges to overcome. For instance, tone retargeting HDR content is still an open question when considering movies (images sequences), immersive omnidirectional contents, or virtual-reality computer-generated contents. Recent scientific publications tackle specific HDR imagery use cases such as tone mapping omnidirectional HDR content for virtual reality headsets. Moreover, image color appearance models, visual quality metrics, aesthetics assessment, and computational models of visual attention are still at an early stage of research and development. Recent deep-learning-based approaches have emerged and have boosted performance. However, the emergence of such approaches is slowed down due to several key factors, such as the lack of large-scale HDR content datasets and the non-trivial extension of SDR-based networks to the peculiarities of HDR content.

The scope of this Special Issue dedicated to HDR imaging covers topics from HDR content visual perception (color appearance, aesthetics, quality, saliency), HDR content processing/editing, HDR datasets, and HDR capture/display.

Prof. Dr. Rémi Cozot
Prof. Dr. Olivier Le Meur
Prof. Dr. Christophe Renaud
Guest Editors

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) for publication in this open access journal is 1600 CHF (Swiss Francs). 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 imaging
  • HDR use cases
  • HDR content processing
  • HDR content editing
  • HDR display
  • HDR capture
  • HDR quality of experience
  • HDR datasets

Published Papers (1 paper)

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Research

Article
Utilizing a Terrestrial Laser Scanner for 3D Luminance Measurement of Indoor Environments
J. Imaging 2021, 7(5), 85; https://0-doi-org.brum.beds.ac.uk/10.3390/jimaging7050085 - 10 May 2021
Viewed by 394
Abstract
We aim to present a method to measure 3D luminance point clouds by applying the integrated high dynamic range (HDR) panoramic camera system of a terrestrial laser scanning (TLS) instrument for performing luminance measurements simultaneously with laser scanning. We present the luminance calibration [...] Read more.
We aim to present a method to measure 3D luminance point clouds by applying the integrated high dynamic range (HDR) panoramic camera system of a terrestrial laser scanning (TLS) instrument for performing luminance measurements simultaneously with laser scanning. We present the luminance calibration of a laser scanner and assess the accuracy, color measurement properties, and dynamic range of luminance measurement achieved in the laboratory environment. In addition, we demonstrate the 3D luminance measuring process through a case study with a luminance-calibrated laser scanner. The presented method can be utilized directly as the luminance data source. A terrestrial laser scanner can be prepared, characterized, and calibrated to apply it to the simultaneous measurement of both geometry and luminance. We discuss the state and limitations of contemporary TLS technology for luminance measuring. Full article
(This article belongs to the Special Issue High Dynamic Range Imaging)
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