Deep-Learning Approaches for High Dynamic Range Sensing and Imaging

in Special Issue   Posted on February 12, 2021 

Information for the Special Issue

Submission Deadline: Mon 10 May 2021
Journal Impact Factor : 3.275
Journal Name : Sensors
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Special Issue Call for Papers:

We are experiencing a large use of HDR technology in the entertainment sector, and are also starting to see its use in industrial applications. On the other hand, we are assisting in a paradigm change in the image-processing area, where traditional techniques are surpassed by more flexible deep-learning-based approaches. In the last few years, we are also observing this specific trend in the HDR imaging field. This has brought a number of challenges that need to be addressed in order to make deep-learning-based HDR approaches more robust and resilient to unseen data and/or data which is too noisy.

Topics included but not limited to

Deep-learning-based techniques for images/videos for:

High dynamic range (i.e., camera, image and vision, sensors);
Single/multi-exposure HDR content acquisition;
Image fusion for HDR content;
HDR formats and standardization;
HDR objective metrics;
HDR de-ghosting artifacts removal;
Tone mapping/inverse tone mapping;
Color correction for HDR content;
Gamut adjustment for HDR content;
Real-time HDR applications;
Mixed reality for HDR;
Image-based lighting.

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