Salience preserving multi-focus image fusion

Richang Hong, Chao Wang, Yong Ge, Meng Wang, Xiuqing Wu, Rong Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Scopus citations

Abstract

This paper proposes a novel multi-focus image fusion algorithm. Different from traditional decision map based methods, our algorithm is based on salience preserving gradient, which can better emphasize the structure details of sources while preserving the color consistency. We firstly measure the salience map of the gradient from each source, and then use their saliency to modulate their contributions in computing the global statistics. Gradients with high saliency are properly highlighted in the target gradient, and thereby salient features in the sources are well preserved. Furthermore we extend it to color domain by proposing an importance-weight based trigonometric average method to merge the color components. Extensive experiments on several datasets have demonstrated the effectiveness of our approach.

Original languageEnglish (US)
Title of host publicationProceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007
PublisherIEEE Computer Society
Pages1663-1666
Number of pages4
ISBN (Print)1424410177, 9781424410170
DOIs
StatePublished - 2007
Externally publishedYes
EventIEEE International Conference onMultimedia and Expo, ICME 2007 - Beijing, China
Duration: Jul 2 2007Jul 5 2007

Publication series

NameProceedings of the 2007 IEEE International Conference on Multimedia and Expo, ICME 2007

Conference

ConferenceIEEE International Conference onMultimedia and Expo, ICME 2007
Country/TerritoryChina
CityBeijing
Period7/2/077/5/07

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Software

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