High Dynamic Range Imaging
A special issue of Journal of Imaging (ISSN 2313-433X).
Deadline for manuscript submissions: closed (1 November 2021) | Viewed by 3908
Special Issue Editors
Interests: HDR imaging; applied visual perception; image aesthetics; computer graphics
Interests: applied visual perception; visual attention; saliency-based applications
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
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Keywords
- HDR imaging
- HDR use cases
- HDR content processing
- HDR content editing
- HDR display
- HDR capture
- HDR quality of experience
- HDR datasets
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