High dynamic range video cameras based on single shot non-regular sampling

2013 ◽  
Author(s):  
J. Keinert ◽  
M. Ziegler ◽  
S. Foessel ◽  
M. Schöberl ◽  
F. Zilly
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Single Shot ◽  
Video Cameras ◽  
Regular Sampling ◽  
High Dynamic ◽  
High Dynamic Range Video

High-Dynamic Range Video Cameras Based on Single Shot Non-Regular Sampling

2014 ◽  
Vol 123 (8) ◽  
pp. 49-54
Author(s):  
Joachim Keinert ◽  
Michael Schoberl ◽  
Matthias Ziegler ◽  
Frederik Zilly ◽  
Siegfried Foessel
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Single Shot ◽  
Video Cameras ◽  
Regular Sampling ◽  
High Dynamic ◽  
High Dynamic Range Video

Appearance reproduction of high-dynamic-range video based on human visual models

2007 ◽  
Vol 90 (11) ◽  
pp. 55-64
Author(s):  
Keita Hirai ◽  
Toshiya Nakaguchi ◽  
Norimichi Tsumura ◽  
Yoichi Miyake
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Visual Models ◽  
High Dynamic ◽  
High Dynamic Range Video

scholarly journals High-dynamic-range imaging for cloud segmentation

2018 ◽  
Vol 11 (4) ◽  
pp. 2041-2049 ◽  
Author(s):  
Soumyabrata Dev ◽  
Florian M. Savoy ◽  
Yee Hui Lee ◽  
Stefan Winkler
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Wide Field ◽  
Single Shot ◽  
Generation Process ◽  
Image Generation ◽  
Large Dynamic Range ◽  
Exposure Fusion ◽  
Wide Field Of View ◽  
High Dynamic

Abstract. Sky–cloud images obtained from ground-based sky cameras are usually captured using a fisheye lens with a wide field of view. However, the sky exhibits a large dynamic range in terms of luminance, more than a conventional camera can capture. It is thus difficult to capture the details of an entire scene with a regular camera in a single shot. In most cases, the circumsolar region is overexposed, and the regions near the horizon are underexposed. This renders cloud segmentation for such images difficult. In this paper, we propose HDRCloudSeg – an effective method for cloud segmentation using high-dynamic-range (HDR) imaging based on multi-exposure fusion. We describe the HDR image generation process and release a new database to the community for benchmarking. Our proposed approach is the first using HDR radiance maps for cloud segmentation and achieves very good results.

High dynamic range video

2003 ◽  
Vol 22 (3) ◽  
pp. 319-325 ◽  
Author(s):  
Sing Bing Kang ◽  
Matthew Uyttendaele ◽  
Simon Winder ◽  
Richard Szeliski
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
High Dynamic ◽  
High Dynamic Range Video
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