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Detail Preserving Multi-Scale Exposure Fusion

  • Qiantong Wang
  • , Weihai Chen*
  • , Xingming Wu
  • , Zhengguo Li
  • *Corresponding author for this work
  • Beihang University
  • Agency for Science, Technology and Research, Singapore

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Edge-preserving smoothing based multi-scale exposure fusion is a state-of-the-art method to fuse differently exposed images of a high dynamic range (HDR) scene. However, its complexity could be an issue. In this paper, a novel multiscale exposure fusion algorithm is proposed by adopting an approximation method at the highest layer of the pyramid. Experimental results show that the proposed algorithm can be applied to fuse images with comparable or even better quality with the edge-preserving smoothing based multi-scale fusion algorithms. It simplifies the complexity of the edge-preserving smoothing based multi-scale exposure fusion algorithms significantly.

Original languageEnglish
Title of host publication2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings
PublisherIEEE Computer Society
Pages1713-1717
Number of pages5
ISBN (Electronic)9781479970612
DOIs
StatePublished - 29 Aug 2018
Event25th IEEE International Conference on Image Processing, ICIP 2018 - Athens, Greece
Duration: 7 Oct 201810 Oct 2018

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference25th IEEE International Conference on Image Processing, ICIP 2018
Country/TerritoryGreece
CityAthens
Period7/10/1810/10/18

Keywords

  • Edge-preserving smoothing
  • Exposure fusion
  • High dynamic range
  • Image pyramid
  • Multi-scale fusion

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