A multi-focus image fusion method based on linear canonical transform

Yan An Xie, Yong Guo, Bing Zhao Li

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

1 Citation (Scopus)

Abstract

In this paper, the self-linear canonical functions (SLCFs) based on linear canonical transform (LCT) are discussed and proposed. We found that the SLCFs can be used to decompose an image into M complex images. Based on this property, a novel multi-focus image fusion method is proposed in this paper. The simulations are carried out to show the importance of parameters in application of the SLCFs decomposition. According to the simulation results, the proposed fusion method with appropriate parameters can improve the quality of fused images.

Original languageEnglish
Title of host publicationICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509027088
DOIs
Publication statusPublished - 22 Nov 2016
Event2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016 - Hong Kong, China
Duration: 5 Aug 20168 Aug 2016

Publication series

NameICSPCC 2016 - IEEE International Conference on Signal Processing, Communications and Computing, Conference Proceedings

Conference

Conference2016 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2016
Country/TerritoryChina
CityHong Kong
Period5/08/168/08/16

Keywords

  • Image fusion
  • discrete cosine transform
  • discrete sine transform
  • multi-focus image
  • self-linear canonical functions

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