431
Views
17
CrossRef citations to date
0
Altmetric
Articles

Infrared and visible image fusion based on random projection and sparse representation

&
Pages 1640-1652 | Received 01 Jul 2013, Accepted 17 Oct 2013, Published online: 19 Feb 2014
 

Abstract

A new image fusion approach for infrared and visible images is explored, combining fusion with data compression based on sparse representation and compressed sensing. The proposed approach first compresses the sensing data by random projection and then obtains sparse coefficients on compressed samples by sparse representation. Finally, the fusion coefficients are combined with the fusion impact factor and the fused image is reconstructed from the combined sparse coefficients. Experimental results validate its rationality and effectiveness, which can achieve comparable fusion quality on the less-compressed sensing data.

Funding

This research was supported in part by the National Natural Science Foundation of China [grant number 61375015], [grant number 61301027]; and the National High Technology Research and Development Programme of China (863 Programme) [grant number 2013AA01A603].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 689.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.