scholarly journals High dynamic range 3D laser scanning with the single-shot raw image of a color camera

2021 ◽  
Author(s):  
Yongkai Yin ◽  
Ke Wu ◽  
Lei Lu ◽  
Limei Song ◽  
Zheng Zhong ◽  
...  
Keyword(s):  
Laser Scanning ◽  
Dynamic Range ◽  
High Dynamic Range ◽  
Single Shot ◽  
3D Laser Scanning ◽  
High Dynamic

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.

scholarly journals Single-shot cross-correlator for pulse-contrast characterization of high peak-power lasers

2018 ◽  
Vol 6 ◽  
Author(s):  
Jingui Ma ◽  
Peng Yuan ◽  
Jing Wang ◽  
Guoqiang Xie ◽  
Heyuan Zhu ◽  
...  
Keyword(s):  
Real Time ◽  
Peak Power ◽  
Dynamic Range ◽  
High Dynamic Range ◽  
System Optimization ◽  
High Peak ◽  
High Peak Power ◽  
Single Shot ◽  
High Dynamic ◽  
Pulse Contrast

Pulse contrast is a crucial parameter of high peak-power lasers since the prepulse noise may disturb laser–plasma interactions. Contrast measurement is thus a prerequisite to tackle the contrast challenge in high peak-power lasers. This paper presents the progress review of single-shot cross-correlator (SSCC) for real-time contrast characterization. We begin with the key technologies that enable an SSCC to simultaneously possess high dynamic range ($10^{10}$), large temporal window (50–70 ps) and high fidelity. We also summarize the instrumentation of SSCC prototypes and their applications on five sets of petawatt laser facilities in China. Finally, we discuss how to extend contrast measurements from time domain to spatiotemporal domain. Real-time and high-dynamic-range contrast measurements, provided by SSCC, can not only characterize various complex noises in high peak-power lasers but also guide the system optimization.

Single-shot, high-dynamic-range measurement of sub-15 fs pulses by self-referenced spectral interferometry

2010 ◽  
Vol 35 (22) ◽  
pp. 3856 ◽  
Author(s):  
A. Moulet ◽  
S. Grabielle ◽  
C. Cornaggia ◽  
N. Forget ◽  
T. Oksenhendler
Keyword(s):  
Dynamic Range ◽  
High Dynamic Range ◽  
Single Shot ◽  
Range Measurement ◽  
Spectral Interferometry ◽  
High Dynamic

scholarly journals High-dynamic-range single-shot cross-correlator based on an optical pulse replicator

2008 ◽  
Vol 16 (18) ◽  
pp. 13534 ◽  
Author(s):  
Christophe Dorrer ◽  
Jake Bromage ◽  
J. D. Zuegel
Keyword(s):  
Optical Pulse ◽  
Dynamic Range ◽  
High Dynamic Range ◽  
Single Shot ◽  
High Dynamic

scholarly journals High-Dynamic-Range Imaging for Cloud Segmentation

2017 ◽  
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 ◽  
Large Dynamic Range ◽  
Exposure Fusion ◽  
Wide Field Of View ◽  
High Dynamic ◽  
Fish Eye

Abstract. Sky/cloud images obtained from ground-based sky-cameras are usually captured using a fish-eye 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 over-exposed, and the regions near the horizon are under-exposed. This renders cloud segmentation for such images difficult. In this paper, we propose HDRSeg – an effective method for cloud segmentation using High-Dynamic-Range (HDR) imaging based on multi-exposure fusion. We describe the HDR generation process and release a new database to the community for benchmarking. Our proposed approach is the first using HDR images for cloud segmentation and achieves very good results.

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