Compressive image fusion

T Wan, CN Canagarajah, AM Achim

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

82 Citations (Scopus)

Abstract

Compressive sensing (CS) has received a lot of interest due to its compression capability and lack of complexity on the sensor side. In this paper, we present a study of three sampling patterns and investigate their performance on CS reconstruction. We then propose a new image fusion algorithm in the compressive domain by using an improved sampling pattern. There are few studies regarding the applicability of CS to image fusion. The main purpose of this work is to explore the properties of compressive measurements through different sampling patterns and their potential use in image fusion. The study demonstrates that CS-based image fusion has a number of perceived advantages in comparison with image fusion in the multiresolution (MR) domain. The simulations show that the proposed CS-based image fusion algorithm provides promising results.
Translated title of the contributionCompressive image fusion
Original languageEnglish
Title of host publication15th IEEE International Conference on Image Processing (ICIP 2008), San Diego, USA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1308 - 1311
Number of pages4
ISBN (Print)9781424417650
DOIs
Publication statusPublished - 12 Oct 2008

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