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Multi-exposure imaging on mobile devices (demo)

Published:25 October 2010Publication History

ABSTRACT

Many natural scenes have a dynamic range that is larger than the dynamic range of a camera's image sensor. A popular approach to producing an image without under- and over-exposed areas is to capture several input images with varying exposure settings, and later merge them into a single high-quality result using offline image processing software. We present a system for creating images of high-dynamic-range (HDR) scenes that operates entirely on a mobile camera. Our system consists of an automatic HDR metering algorithm that determines which exposures to capture, a video-rate viewfinder preview algorithm that allows the user to verify the dynamic range that will be recorded, and a light-weight image merging algorithm that computes a high-quality result directly on the camera. By using our system, a photographer can capture, view, and share images of HDR scenes directly on camera, without using offline image processing software

References

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  2. T. Mertens, J. Kautz, and F. V. Reeth. Exposure fusion. Pacific Graphics, 2007. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. E. Reinhard, G. Ward, S. Pattanaik, and P. Debevec. High Dynamic Range Imaging. Morgan Kaufmann.Google ScholarGoogle Scholar
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  5. M. Tico and K. Pulli. Image enhancement method via blur and noisy image fusion. Proc. ICIP, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Multi-exposure imaging on mobile devices (demo)

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    • Published in

      cover image ACM Conferences
      MM '10: Proceedings of the 18th ACM international conference on Multimedia
      October 2010
      1836 pages
      ISBN:9781605589336
      DOI:10.1145/1873951

      Copyright © 2010 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 25 October 2010

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      Overall Acceptance Rate995of4,171submissions,24%

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