Image vusion : image and video fusion Hossny, M. and Nahavandi, S. 2015, Image vusion : image and video fusion, in SMC 2015 : Big Data Analytics For Human-Centric Systems, IEEE, Piscataway, N.J., pp. 425-429, doi: 10.1109/SMC.2015.85. Attached Files Name Description MIMEType Size Downloads Title Image vusion : image and video fusion Author(s) Hossny, M. orcid.org/0000-0002-1593-6296 Nahavandi, S. orcid.org/0000-0002-0360-5270 Conference name Systems, Man, and Cybernetics. International Conference (2015 : Hong Kong) Conference location Hong Kong Conference dates 10-12 Oct. 2015 Title of proceedings SMC 2015 : Big Data Analytics For Human-Centric Systems Publication date 2015 Start page 425 End page 429 Total pages 5 Publisher IEEE Place of publication Piscataway, N.J. Summary It is not uncommon in many image acquisition solutions to balance a trade off between obtaining high resolution images at very low frame rates or acquiring a burst of low resolution images at higher frame rates. This paper introduces a novel image fusion framework for producing a high resolution video by augmenting analysed motion in a low resolution video to a single high resolution image. Many application domains such as remote sensing, low radiation medical imaging and battlefield automation will benefit from this novel fusion framework. The results show that a captured high resolution 30 frames per second video can be produced with 95% cost reduction while maintaining 94% structural similarity. ISBN 9781479986965 Language eng DOI 10.1109/SMC.2015.85 Field of Research 080602 Computer-Human Interaction 080106 Image Processing 110320 Radiology and Organ Imaging Socio Economic Objective 970101 Expanding Knowledge in the Mathematical Sciences HERDC Research category E1 Full written paper - refereed ERA Research output type E Conference publication Copyright notice ©2015, IEEE Persistent URL http://hdl.handle.net/10536/DRO/DU:30082585 Document type: Conference Paper Collections: Centre for Intelligent Systems Research GTP Research Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Wed, 06 Apr 2016, 11:05:13 EST Wed, 06 Apr 2016, 11:06:54 EST Thu, 14 Apr 2016, 20:29:06 EST Fri, 15 Apr 2016, 05:00:10 EST Fri, 15 Apr 2016, 08:29:37 EST Mon, 18 Apr 2016, 11:50:52 EST Wed, 27 Apr 2016, 06:10:23 EST Thu, 28 Jul 2016, 10:17:24 EST Thu, 28 Jul 2016, 10:19:19 EST Thu, 28 Jul 2016, 10:40:59 EST Wed, 12 Oct 2016, 15:03:49 EST Wed, 01 Mar 2017, 07:54:15 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 329 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Mon, 18 Apr 2016, 11:50:52 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.