High Dynamic Range Imaging by Varying Exposure Time, Gain and Aperture of a Video Camera

被引:0
|
作者
Schleicher, Daniel C. H. [1 ]
Zagar, Bernhard G. [1 ]
机构
[1] Johannes Kepler Univ Linz, Inst Measurement Technol, A-4040 Linz, Austria
关键词
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
To generate high dynamic range (HDR) images usually the exposure time is the only parameter varied when acquiring the low dynamic range (LDR) image series. In this paper the f-number and the gain of the camera are also considered to be variable as exposure defining parameter. This enables HDR imaging for image acquisition systems with limited exposure time range to prevent motion blur. The impacts of the added parameters gain and f-number are analyzed. Since common HDR image generating algorithms require the exposure time as input, an approach to estimate an equivalent exposure time by the used parameter set ( exposure time, f-number and camera gain) is shown. Further this equivalent exposure time can also be estimated without a priori knowledge of the parameter set. At the end of the paper a quality assurance application is shown, where this extended parameter set was used and proved necessary for the HDR image acquisition.
引用
收藏
页数:6
相关论文
共 50 条
  • [1] A Real-Time High Dynamic Range HD Video Camera
    Narasimha, Rajesh
    Batur, Umit
    2015 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS (CVPRW), 2015,
  • [2] Split aperture imaging for high dynamic range
    Aggarwal, M
    Ahuja, N
    EIGHTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOL II, PROCEEDINGS, 2001, : 10 - 17
  • [3] Split aperture imaging for high dynamic range
    Aggarwal, M
    Ahuja, N
    INTERNATIONAL JOURNAL OF COMPUTER VISION, 2004, 58 (01) : 7 - 17
  • [4] Split Aperture Imaging for High Dynamic Range
    Manoj Aggarwal
    Narendra Ahuja
    International Journal of Computer Vision, 2004, 58 : 7 - 17
  • [5] High Speed and High Dynamic Range Video with an Event Camera
    Rebecq, Henri
    Ranftl, Rene
    Koltun, Vladlen
    Scaramuzza, Davide
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 43 (06) : 1964 - 1980
  • [6] Optimal camera exposure for video surveillance systems by predictive control of shutter speed, aperture and gain
    Torres, Juan
    Manuel Menendez, Jose
    REAL-TIME IMAGE AND VIDEO PROCESSING 2015, 2015, 9400
  • [7] High Dynamic Range Video Camera with Elements of the Pattern Recognition
    Sergiyenko, Anatoliy
    Serhiienko, Pavlo
    Zorin, Juriy
    2018 IEEE 38TH INTERNATIONAL CONFERENCE ON ELECTRONICS AND NANOTECHNOLOGY (ELNANO), 2018, : 435 - 438
  • [8] High-dynamic range video acquisition with a multiview camera
    Bonnard, Jennifer
    Loscos, Celine
    Valette, Gilles
    Nourrit, Jean-Michel
    Lucas, Laurent
    OPTICS, PHOTONICS, AND DIGITAL TECHNOLOGIES FOR MULTIMEDIA APPLICATIONS II, 2012, 8436
  • [9] HIGH DYNAMIC RANGE IMAGING USING CAMERA ARRAYS
    Seshadrinathan, Kalpana
    Nestares, Oscar
    2017 24TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2017, : 725 - 729
  • [10] Neuromorphic Camera Guided High Dynamic Range Imaging
    Han, Jin
    Zhou, Chu
    Duan, Peiqi
    Tang, Yehui
    Xu, Chang
    Xu, Chao
    Huang, Tiejun
    Shi, Boxin
    2020 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2020, : 1727 - 1736