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Smarter photography

Published:01 June 2012Publication History
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Abstract

Improvements in camera hardware, image processing, camera-photographer interfaces, and image viewing are advancing the state of the art in digital photography.

References

  1. Cossairt, O., Miau, D., and Nayar, S. Gigapixel computational imaging, IEEE International Conference on Computational Photography, Pittsburgh, PA, April 8-10, 2011.Google ScholarGoogle ScholarCross RefCross Ref
  2. Kee, E., Paris, S., Chen, S., and Wang, J. Modeling and removing spatially-varying optical blur, IEEE International Conference on Computational Photography, Pittsburgh, PA, April 8-10, 2011.Google ScholarGoogle ScholarCross RefCross Ref
  3. Nack, J. Adobe demos refocusable images, http://blogs.adobe.com/jnack/2010/09/adobe-demos-refocusable-images.html, Sept. 25, 2010.Google ScholarGoogle Scholar
  4. Srivastava, A., Malisiewicz, T., Gupta, A., and Efros, A. Data-driven visual similarity for cross-domain image matching, Proceedings of the 2011 SIGGRAPH Asia Conference, Hong Kong, Dec. 12-15, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Szeliski, R. Computer Vision: Algorithms and Applications, 2011. Springer, New York, NY, 2011. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Smarter photography

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      • Published in

        cover image Communications of the ACM
        Communications of the ACM  Volume 55, Issue 6
        June 2012
        124 pages
        ISSN:0001-0782
        EISSN:1557-7317
        DOI:10.1145/2184319
        Issue’s Table of Contents

        Copyright © 2012 ACM

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        New York, NY, United States

        Publication History

        • Published: 1 June 2012

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