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Compact representation of contours using directional grid chain code

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Park, Heechan, Martin, Graham R. and Yu, Andy C.. (2008) Compact representation of contours using directional grid chain code. Signal Processing: Image Communication, Vol.23 (No.2). pp. 87-100. ISSN 0923-5965

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1016/j.image.2007.11.002

Abstract

An efficient contour-based method for the coding of binary shape information is described. Conventional chain coding techniques show high coding efficiency for lossless compression, but they exploit the coherence of the contour in only a restricted manner. Higher coding efficiency can be achieved by realising the neighbourhood relation as a Markov chain, and this is exploited in a new coding scheme, the directional grid chain coding (DGCC). The method is computationally efficient and the coding process adapts to the inherent changes in the contour. Two schemes are proposed, a lossless and a quasi-lossless method. The lossless scheme achieves 32% saving in bit rate compared with the conventional differential chain code (DCC). The second, quasi-lossless technique achieves 44% bit reduction compared with the DCC and the distortions present in the reconstructed contour are hardly noticeable to the human eye. (c) 2007 Elsevier B.V. All rights reserved.

Item Type: Journal Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science > Computer Science
Journal or Publication Title: Signal Processing: Image Communication
Publisher: Elsevier Science Inc
ISSN: 0923-5965
Date: February 2008
Volume: Vol.23
Number: No.2
Number of Pages: 14
Page Range: pp. 87-100
Identification Number: 10.1016/j.image.2007.11.002
Status: Peer Reviewed
Publication Status: Published
URI: http://wrap.warwick.ac.uk/id/eprint/30393

Data sourced from Thomson Reuters' Web of Knowledge

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