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Determining exposure values from HDR histograms for smartphone photography

Published: 21 October 2013 Publication History
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  • Abstract

    We present a novel system to assist users in choosing suitable exposure values for photography on smartphones. The user specifies the desired shape of the histogram of the captured image by adjusting the parameters of a function. The system then uses the smartphone's camera and varying exposure values to calculate a high dynamic range (HDR) histogram of the scene. It contains the entire brightness range from the darkest to the brightest area of the scene. For any exposure value, the HDR histogram can be used to synthesize a conventional histogram of a low dynamic range (LDR) image as if captured by this exposure value. This process is much faster than capturing the image itself. By comparing a number of synthesized LDR histograms to the user's desired histogram shape, the system determines an exposure value that best meets the user's preference.

    References

    [1]
    B. Guthier, S. Kopf, and W. Effelsberg. Optimal shutter speed sequences for real-time HDR video. In Int. Conf. on Image Systems and Techniques, 2012.
    [2]
    S. Hasinoff, F. Durand, and W. Freeman. Noise-Optimal Capture for High Dynamic Range Photography. In Proc. of the CVPR, 2010.

    Cited By

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    • (2022)Algorithmic photography: a case study of the Huawei Moon Mode controversyMedia, Culture & Society10.1177/0163443721106496444:4(690-705)Online publication date: 22-Apr-2022
    • (2022)Benefits Of Multi-Exposure For Hyperspectral Imaging2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)10.1109/WHISPERS56178.2022.9955077(1-5)Online publication date: 13-Sep-2022
    • (2015)Motion Aware Exposure Bracketing for HDR VideoComputer Graphics Forum10.5555/2858834.285884734:4(119-130)Online publication date: 1-Jul-2015
    • Show More Cited By

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    1. Determining exposure values from HDR histograms for smartphone photography

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      Published In

      cover image ACM Conferences
      MM '13: Proceedings of the 21st ACM international conference on Multimedia
      October 2013
      1166 pages
      ISBN:9781450324045
      DOI:10.1145/2502081
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 21 October 2013

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      Author Tags

      1. HDR
      2. photography
      3. smartphones

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      • Demonstration

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      MM '13
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      MM '13: ACM Multimedia Conference
      October 21 - 25, 2013
      Barcelona, Spain

      Acceptance Rates

      MM '13 Paper Acceptance Rate 47 of 235 submissions, 20%;
      Overall Acceptance Rate 995 of 4,171 submissions, 24%

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      October 28 - November 1, 2024
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      Cited By

      View all
      • (2022)Algorithmic photography: a case study of the Huawei Moon Mode controversyMedia, Culture & Society10.1177/0163443721106496444:4(690-705)Online publication date: 22-Apr-2022
      • (2022)Benefits Of Multi-Exposure For Hyperspectral Imaging2022 12th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS)10.1109/WHISPERS56178.2022.9955077(1-5)Online publication date: 13-Sep-2022
      • (2015)Motion Aware Exposure Bracketing for HDR VideoComputer Graphics Forum10.5555/2858834.285884734:4(119-130)Online publication date: 1-Jul-2015
      • (2015)Motion Aware Exposure Bracketing for HDR VideoComputer Graphics Forum10.1111/cgf.1268434:4(119-130)Online publication date: 27-Jul-2015

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