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Proceedings Paper

Low Data-Rate Coding Using Image Primitives
Author(s): Elias Hanna; Don Pearson; John Robinson
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Paper Abstract

We report on some initial attempts to reconstruct a grey-level image starting trom a cartoon or sketch, which is treated as an image primitive. The aim is to code grey-Level images efficiently by using object-related information. It the cartoon is derived t valley detection from the image of a smooth object, samples of the original image taken at the cartoon lines and at a few selected intermediate points contain implicit inrormation about the geometry of the object. Some initial experimental results with (a) simple black-level fill-in, and (b) first-order interpolation have been obtained.

Paper Details

Date Published: 1 May 1986
PDF: 4 pages
Proc. SPIE 0594, Image Coding, (1 May 1986); doi: 10.1117/12.952206
Show Author Affiliations
Elias Hanna, University of Essex (England)
Don Pearson, University of Essex (England)
John Robinson, University of Essex (England)

Published in SPIE Proceedings Vol. 0594:
Image Coding
Thomas S. Huang; Murat Kunt, Editor(s)

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