Enhancement of image fusion methods

Yotam Ben-Shoshan, Yitzhak Yitzhaky

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

2 Scopus citations

Abstract

Image fusion methods that can effectively combine information from different imaging sources have become more common due to the growing types and number of imaging sensors, and because it can be difficult for humans to effectively integrate visual information by viewing multiple displays separately. In this paper, we show a novel techniques that runs at the first stage of the fusion process. The algorithm determines the polarity of the images (i.e., assigning brighter or darker gray-level values to larger image intensities), under the assumption that fusion produces better results when the images are more similar. The proposed technique was implemented to various fusion methods, including arithmetic fusion, Lapalce pyramids, Ratio of Low Pass pyramids and Morphological pyramids. Pairs of thermal and visual images were employed in the fusion procedure. The results indicate that the proposed enhancement leads to a better image fusion quality, with low computational cost, according to both objective and subjective fusion evaluations.

Original languageEnglish
Title of host publicationApplications of Digital Image Processing XXXVI
DOIs
StatePublished - 8 Nov 2013
EventApplications of Digital Image Processing XXXVI - San Diego, CA, United States
Duration: 26 Aug 201329 Aug 2013

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8856
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceApplications of Digital Image Processing XXXVI
Country/TerritoryUnited States
CitySan Diego, CA
Period26/08/1329/08/13

Keywords

  • evaluation of image fusion performance
  • image fusion
  • multi-sensor fusion

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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