demonstration

Multi-exposure imaging on mobile devices (demo)

Authors:

Natasha Gelfand,

Andrew Adams,

Sung Hee Park,

Kari PulliAuthors Info & Claims

MM '10: Proceedings of the 18th ACM international conference on Multimedia

Pages 1595 - 1598

https://doi.org/10.1145/1873951.1874296

Published: 25 October 2010 Publication History

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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

[1]

A. Adams, E.-V. Talvala, S. H. Park, D. E. Jacobs, B. Adjin, N. Gelfand, J. Dolson, D. Vaquero, J. Baek, M. Tico, H. P. A. Lensch, W. Matusik, K. Pulli, M. Horowitz, and M. Levoy. The Frankencamera: An experimental platform for computational photography. Proc. SIGGRAPH, 2010.

Digital Library

Google Scholar

[2]

T. Mertens, J. Kautz, and F. V. Reeth. Exposure fusion. Pacific Graphics, 2007.

Digital Library

Google Scholar

[3]

E. Reinhard, G. Ward, S. Pattanaik, and P. Debevec. High Dynamic Range Imaging. Morgan Kaufmann.

Google Scholar

[4]

Brightside Technologies. High dynamic range display.

Google Scholar

[5]

M. Tico and K. Pulli. Image enhancement method via blur and noisy image fusion. Proc. ICIP, 2009.

Digital Library

Google Scholar

Cited By

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Zhang JWang CLiu SJia LYe NWang JZhou JSun J(2020)Content-Aware Unsupervised Deep Homography EstimationComputer Vision – ECCV 202010.1007/978-3-030-58452-8_38(653-669)Online publication date: 3-Nov-2020
https://doi.org/10.1007/978-3-030-58452-8_38
Łubniewski PMokrzycki W(2018)Choosing an Optimal Bracketing Sequence for HDR ImagingComputer Vision and Graphics10.1007/978-3-030-00692-1_26(300-307)Online publication date: 14-Sep-2018
https://doi.org/10.1007/978-3-030-00692-1_26

Index Terms

Multi-exposure imaging on mobile devices (demo)
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Image and video acquisition

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Information & Contributors

Information

Published In

MM '10: Proceedings of the 18th ACM international conference on Multimedia

October 2010

1836 pages

ISBN:9781605589336

DOI:10.1145/1873951

General Chairs:
Alberto del Bimbo
University of Florence, Italy
,
Shih-Fu Chang
Columbia University, USA
,
Program Chair:
Arnold Smeulders
University of Amsterdam, NL

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 October 2010

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Demonstration

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MM '10

Sponsor:

SIGMM

MM '10: ACM Multimedia Conference

October 25 - 29, 2010

Firenze, Italy

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Zhang JWang CLiu SJia LYe NWang JZhou JSun J(2020)Content-Aware Unsupervised Deep Homography EstimationComputer Vision – ECCV 202010.1007/978-3-030-58452-8_38(653-669)Online publication date: 3-Nov-2020
https://doi.org/10.1007/978-3-030-58452-8_38
Łubniewski PMokrzycki W(2018)Choosing an Optimal Bracketing Sequence for HDR ImagingComputer Vision and Graphics10.1007/978-3-030-00692-1_26(300-307)Online publication date: 14-Sep-2018
https://doi.org/10.1007/978-3-030-00692-1_26

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Multi-exposure imaging on mobile devices

Panorama light-field imaging

High dynamic range and super-resolution from raw image bursts