From image contours to pixels

Paper

Scarmana, G.. 2012. "From image contours to pixels." Shortis, M., Paparoditis, N. and Mallet, C. (ed.) 22nd Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS 2012). Melbourne, Australia 25 Aug - 01 Sep 2012 London, United Kingdom. https://doi.org/10.5194/isprsarchives-XXXIX-B3-415-2012
Paper/Presentation Title

From image contours to pixels

Presentation TypePaper
AuthorsScarmana, G.
EditorsShortis, M., Paparoditis, N. and Mallet, C.
Journal or Proceedings TitleProceedings of the XXII Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS 2012)
ERA Conference ID51072
Journal CitationXXXIX, pp. 415-419
Number of Pages5
Year2012
Place of PublicationLondon, United Kingdom
Digital Object Identifier (DOI)https://doi.org/10.5194/isprsarchives-XXXIX-B3-415-2012
Web Address (URL) of Paperhttp://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XXXIX-B3/415/2012/isprsarchives-XXXIX-B3-415-2012.pdf
Conference/Event22nd Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS 2012)
The Congress of the International Society for Photogrammetry and Remote Sensing
Event Details
22nd Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS 2012)
Parent
The Congress of the International Society for Photogrammetry and Remote Sensing
Event Date
25 Aug 2012 to end of 01 Sep 2012
Event Location
Melbourne, Australia
Event Details
The Congress of the International Society for Photogrammetry and Remote Sensing
ISPRS
International Society for Photogrammetry and Remote Sensing (ISPRS)
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.

Keywordsimage processing, image compression, image contours, image reconstruction
ANZSRC Field of Research 2020401304. Photogrammetry and remote sensing
Byline AffiliationsFaculty of Engineering and Surveying
Institution of OriginUniversity of Southern Queensland
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