Digital image improvement by integrating images of different resolutions

Scarmana, Gabriel (2020) Digital image improvement by integrating images of different resolutions. In: 11th International Symposium on Digital Earth (ISDE 11), 24-27 Sept 2019, Florence, Italy.

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Abstract

This proof of concept paper evaluates the performance of super-resolution (SR) imaging when combining a sequence of images of different resolutions. Traditional work in SR requires accurate sub-pixel registration and/or alignment techniques. The assumption is that all the frames in the sequence are captured with a random sub-pixel translation and at the same spatial resolution.
However, if there is no relative motion between the scene and the sensor, the super-resolution problem can be approached by integrating images of different resolutions using the image re-sampling ratios as the enhancing factor. This may be the case of using digital zooms whereby a scene of interest is enhanced by integrating the information obtained from capturing said scene at different zoom levels.
Preliminary results of conducting tests on synthetic and real data (scanned images) are presented. In both cases the process under-samples the image of an object of interest within a scene at different resolutions. By integrating these images using an algebraic process an improved composite is obtained containing more spatial information than that provided by simply interpolating on a single image.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Poster)
Refereed: Yes
Item Status: Live Archive
Additional Information: Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 Jul 2013 -)
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Civil Engineering and Surveying (1 Jul 2013 -)
Date Deposited: 22 Jul 2020 01:29
Last Modified: 30 Aug 2021 03:04
Uncontrolled Keywords: image processing, super-resolution imaging, image integration
Fields of Research (2008): 01 Mathematical Sciences > 0103 Numerical and Computational Mathematics > 010301 Numerical Analysis
09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing
Fields of Research (2020): 49 MATHEMATICAL SCIENCES > 4903 Numerical and computational mathematics > 490302 Numerical analysis
40 ENGINEERING > 4013 Geomatic engineering > 401304 Photogrammetry and remote sensing
Identification Number or DOI: https://doi.org/10.1088/1755-1315/509/1/012046
URI: http://eprints.usq.edu.au/id/eprint/39038

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