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

EF Canga; SG Nikolov; CN Canagarajah; DR Bull; TD Dixon; JM Noyes; T Troscianko

doi:10.1109/ICIF.2005.1591894

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

EF Canga, SG Nikolov, CN Canagarajah, DR Bull, TD Dixon, JM Noyes, T Troscianko

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

10 Citations (Scopus)

506 Downloads (Pure)

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

Translated title of the contribution	Characterisation of image fusion quality metrics for surveillance applications over bandlimited channels
Original language	English
Title of host publication	International Conference on Information Fusion, Philadelphia, PA, USA
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	483 - 490
ISBN (Print)	0780392868
DOIs	https://doi.org/10.1109/ICIF.2005.1591894
Publication status	Published - Jul 2005
Event	8th International Conference on Information Fusion - Philadelphia, PA, United States Duration: 1 Jul 2005 → …

Conference

Conference	8th International Conference on Information Fusion
Country/Territory	United States
City	Philadelphia, PA
Period	1/07/05 → …

Bibliographical note

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 [email protected].

By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Keywords

image fusion
JPEG2000
quality metrics

Access to Document

10.1109/ICIF.2005.1591894

Canga IEEE infoFusion 2005Accepted author manuscript, 3.49 MB

http://hdl.handle.net/1983/1485

Handle.net

Persistent link

Cite this

Canga, EF., Nikolov, SG., Canagarajah, CN., Bull, DR., Dixon, TD., Noyes, JM., & Troscianko, T. (2005). Characterisation of image fusion quality metrics for surveillance applications over bandlimited channels. In International Conference on Information Fusion, Philadelphia, PA, USA (pp. 483 - 490). Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ICIF.2005.1591894

@inproceedings{640e8a89ddd5470eae3adb59f0a74db2,

title = "Characterisation of image fusion quality metrics for surveillance applications over bandlimited channels",

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",

keywords = "image fusion, JPEG2000, quality metrics",

author = "EF Canga and SG Nikolov and CN Canagarajah and DR Bull and TD Dixon and JM Noyes and T Troscianko",

note = "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 {\textcopyright} 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 [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. ; 8th International Conference on Information Fusion ; Conference date: 01-07-2005",

year = "2005",

month = jul,

doi = "10.1109/ICIF.2005.1591894",

language = "English",

isbn = "0780392868",

pages = "483 -- 490",

booktitle = "International Conference on Information Fusion, Philadelphia, PA, USA",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

}

Canga, EF, Nikolov, SG, Canagarajah, CN, Bull, DR, Dixon, TD, Noyes, JM & Troscianko, T 2005, Characterisation of image fusion quality metrics for surveillance applications over bandlimited channels. in International Conference on Information Fusion, Philadelphia, PA, USA. Institute of Electrical and Electronics Engineers (IEEE), pp. 483 - 490, 8th International Conference on Information Fusion, Philadelphia, PA, United States, 1/07/05. https://doi.org/10.1109/ICIF.2005.1591894

Characterisation of image fusion quality metrics for surveillance applications over bandlimited channels. / Canga, EF; Nikolov, SG; Canagarajah, CN et al.
International Conference on Information Fusion, Philadelphia, PA, USA. Institute of Electrical and Electronics Engineers (IEEE), 2005. p. 483 - 490.

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

TY - GEN

T1 - Characterisation of image fusion quality metrics for surveillance applications over bandlimited channels

AU - Canga, EF

AU - Nikolov, SG

AU - Canagarajah, CN

AU - Bull, DR

AU - Dixon, TD

AU - Noyes, JM

AU - Troscianko, T

N1 - 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 [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

PY - 2005/7

Y1 - 2005/7

N2 - 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

AB - 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

KW - image fusion

KW - JPEG2000

KW - quality metrics

U2 - 10.1109/ICIF.2005.1591894

DO - 10.1109/ICIF.2005.1591894

M3 - Conference Contribution (Conference Proceeding)

SN - 0780392868

SP - 483

EP - 490

BT - International Conference on Information Fusion, Philadelphia, PA, USA

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 8th International Conference on Information Fusion

Y2 - 1 July 2005

ER -

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

Abstract

Conference

Bibliographical note

Keywords

Access to Document

Handle.net

Fingerprint

Cite this