Scarmana, G. (2012) From image contours to pixels. In: XXII Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS 2012), 25 Aug – 01 Sept 2012, Melbourne, Australia.
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Abstract
This paper relates to the reconstruction of digital images using their contour representations. The process involves determining the pixel intensity value which would exist at the intersections of a regular grid using the nodes of randomly spaced contour locations.
The reconstruction of digital images from their contour maps may also be used as a tool for image compression. This reconstruction process may provide for more accurate results and improved visual details than existing compressed versions of the same image, while requiring similar memory space for storage and speed of transmission over digital links.
For the class of images investigated in this work, the contour approach to image reconstruction and compression requires contour data to be filtered and eliminated from the reconstruction process. Statistical tests which validate the proposed process conclude this paper.
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| Item Type: | Conference or Workshop Item (Commonwealth Reporting Category E) (Paper) |
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| Refereed: | Yes |
| Item Status: | Live Archive |
| Additional Information: | © Author(s) 2012. This work is distributed under the Creative Commons Attribution 3.0 License. additional information regarding this publication can be found in http://16.arspc.com/ and http://www.isprs2012.org/abstracts16ARSPC.asp |
| Faculty/School / Institute/Centre: | Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information (Up to 30 Jun 2013) |
| Faculty/School / Institute/Centre: | Historic - Faculty of Engineering and Surveying - Department of Surveying and Land Information (Up to 30 Jun 2013) |
| Date Deposited: | 10 Sep 2012 04:45 |
| Last Modified: | 17 Sep 2014 01:34 |
| Uncontrolled Keywords: | image processing, image compression, image contours, image reconstruction |
| Fields of Research (2008): | 09 Engineering > 0909 Geomatic Engineering > 090905 Photogrammetry and Remote Sensing |
| Fields of Research (2020): | 40 ENGINEERING > 4013 Geomatic engineering > 401304 Photogrammetry and remote sensing |
| Socio-Economic Objectives (2008): | E Expanding Knowledge > 97 Expanding Knowledge > 970109 Expanding Knowledge in Engineering |
| Identification Number or DOI: | https://doi.org/10.5194/isprsarchives-XXXIX-B3-415-2012 |
| URI: | http://eprints.usq.edu.au/id/eprint/21875 |
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