Image reconstruction in the contour domain

Paper


Scarmana, G.. 2011. "Image reconstruction in the contour domain." Shepherd, D., West, G. and Johnston, M. (ed.) ISDE 7: 7th International Symposium on Digital Earth . Perth, Australia 23 - 25 Aug 2011 Perth, Australia.
Paper/Presentation Title

Image reconstruction in the contour domain

Presentation TypePaper
Authors
AuthorScarmana, G.
EditorsShepherd, D., West, G. and Johnston, M.
Journal or Proceedings TitleProceedings of the 7th International Symposium on Digital Earth (ISDE 7)
Number of Pages10
Year2011
Place of PublicationPerth, Australia
ISBN9780646573168
Web Address (URL) of Paperhttp://www.isde7.net/
Conference/EventISDE 7: 7th International Symposium on Digital Earth
Event Details
ISDE 7: 7th International Symposium on Digital Earth
Event Date
23 to end of 25 Aug 2011
Event Location
Perth, Australia
Abstract

Digital image enhancement systems are essentially pixel-based. In this paper, a novel method of multi-frame image enhancement employs contours rather than pixels as the primitive working unit. The feasibility of this proposal is based on the fact that gray-scale images can be sufficiently and accurately represented by their contour maps if a suitable contour model and scale selection method
is used [5].

In this process several low-resolution shifted frames of the same scene are (a) registered (b) transformed into their contour domain, and (c) grouped or mapped globally within a singular framework to create an enhanced contour composite. Inverting this improved contour representation
yields a high-fidelity reconstruction of an image in pixel format with more details than any of the original input frames.

The mapping of the low-resolution contour images within a singular framework takes advantage of the differences (or shifts) existing between their contour representations. These shifts are computed using an innovative image registration technique that can achieve accuracies of up to 0.01 of a pixel. The technique is based on DCT (Discrete Fourier Transforms) and normalized cross-correlation.

Controlled tests show that this global contour mapping approach, with subsequent converting to a compact and improved raster image, provides for an efficient and simplified method for multi-frame image enhancement. As compared to pixel-based multi-frame image enhancement processes, the proposed method may be computationally more efficient as it allows the detection, filtering and
elimination of redundant contour data which may have little or no effect in the final enhancement.

Although still in the experimental stage and restricted to gray-scale images, the proposed method is particularly viable in applications involving facial enhancements of compressed video frames.

Keywordsimage processing; contours; image editing
ANZSRC Field of Research 2020401304. Photogrammetry and remote sensing
490304. Optimisation
460306. Image processing
Public Notes

No evidence of copyright restrictions preventing deposit.

Byline AffiliationsFaculty of Engineering and Surveying
Institution of OriginUniversity of Southern Queensland
Permalink -

https://research.usq.edu.au/item/q0xv1/image-reconstruction-in-the-contour-domain

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