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Filter based deghosting for exposure fusion video

Published: 07 August 2011 Publication History

Abstract

This work deals with a well known problem - the fact that consumer cameras are unable to capture the whole range of color luminance variations the human eye can perceive. Many techniques deal with this, the most widespread probably being High Dynamic Range Imaging. These works focus mainly on still images. Our focus in this work, however, is to improve videos taken from mobile devices by extending one such technique, Exposure Fusion, introduced in [Mertens et al. ].

References

[1]
Castro, T., Chapiro, A., Cicconet, M., and Velho, L. Towards mobile hdr video. Eurographics 2011.
[2]
Gallo, O., Chen, W., Gelfand, N., Tico, M., and Pulli, K. Artifact-free high dynamic range imaging. ICIP 2009.
[3]
Mertens, T., Kautz, J., and Van Reeth, F. Exposure fusion. Pacific Graphics 2007.

Cited By

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  • (2016)Multi-exposure Dynamic Image Fusion Based on PatchMatch and Illumination EstimationProceedings of 2016 Chinese Intelligent Systems Conference10.1007/978-981-10-2338-5_45(481-491)Online publication date: 22-Sep-2016
  • (2015)The State of the Art in HDR DeghostingComputer Graphics Forum10.1111/cgf.1259334:2(683-707)Online publication date: 1-May-2015
  • (2014)Generalized Exposure Fusion Weights EstimationProceedings of the 2014 Canadian Conference on Computer and Robot Vision10.1109/CRV.2014.8(71-76)Online publication date: 6-May-2014
  • Show More Cited By

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  1. Filter based deghosting for exposure fusion video

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      cover image ACM Conferences
      SIGGRAPH '11: ACM SIGGRAPH 2011 Posters
      August 2011
      92 pages
      ISBN:9781450309714
      DOI:10.1145/2037715
      Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 07 August 2011

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      Cited By

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      • (2016)Multi-exposure Dynamic Image Fusion Based on PatchMatch and Illumination EstimationProceedings of 2016 Chinese Intelligent Systems Conference10.1007/978-981-10-2338-5_45(481-491)Online publication date: 22-Sep-2016
      • (2015)The State of the Art in HDR DeghostingComputer Graphics Forum10.1111/cgf.1259334:2(683-707)Online publication date: 1-May-2015
      • (2014)Generalized Exposure Fusion Weights EstimationProceedings of the 2014 Canadian Conference on Computer and Robot Vision10.1109/CRV.2014.8(71-76)Online publication date: 6-May-2014
      • (2014)Fast Exposure Fusion Based on Histograms SegmentationImage and Signal Processing10.1007/978-3-319-07998-1_42(367-374)Online publication date: 2014

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