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Characterisation of image fusion quality metrics for surveillance applications over bandlimited channels

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

Original languageEnglish
Title of host publicationInternational Conference on Information Fusion, Philadelphia, PA, USA
Publisher or commissioning bodyInstitute of Electrical and Electronics Engineers (IEEE)
Publication dateJul 2005
Pages483 - 490
ISBN (Print)0780392868
DOIs
StatePublished

Conference

Conference8th International Conference on Information Fusion
CountryUnited States
CityPhiladelphia, PA
Period1/07/05 → …

Abstract

Image fusion is finding increasing application in areas such as medical imaging, remote sensing or military surveillance using sensor networks. Many of these applications demand highly compressed data combined with error resilient coding due to the characteristics of the communication channel. In this respect, JPEG2000 has many advantages over previous image coding standards. This paper evaluates and compares quality metrics for lossy compression using JPEG2000. Three representative image fusion algorithms: simple averaging, contrast pyramid and dual-tree complex wavelet transform based fusion have been considered. Numerous infrared and visible test images have been used. We compare these results with a psychophysical study where participants were asked to perform specific tasks and assess image fusion quality. The results show that there is a correlation between most of the metrics and the psychophysical evaluation. They also indicate that selection of the correct fusion method has more impact on performance than the presence of compression

Additional information

Conference Proceedings/Title of Journal: 8th International Conference on Information Fusion, 2005 Rose publication type: Conference contribution Sponsorship: This work has been partially funded by the UK MOD Data and Information Fusion Defence Technology Center. The original "UN Camp" and "Trees" IR and visible images are kindly supplied by Alexander Toet of the TNO Human Factors Research Institude and the Octec images by David Dwyer of OCTEC Ltd. These images are available online at www.imagefusion.org. Terms of use: Copyright © 2005 IEEE. Reprinted from 8th International Conference on Information Fusion, 2005. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Documents

DOI

Research areas

  • image fusion, JPEG2000, quality metrics

Event

8th International Conference on Information Fusion

Duration1 Jul 2005 → …
CountryUnited States
CityPhiladelphia, PA

Event: Conference

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