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Proceedings Paper

Scalable mesh-based interpolative coding of synthethic and natural image objects
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Paper Abstract

This paper presents an object-based synthetic-natural hybrid image coding scheme, where each image object is encoded individually, provided that their boundaries are specified. This allows coding natural and synthetic image objects using different methods which are best suited their content. It also allows object-based quality scalability, in addition to mixing lossy and lossless coding modes depending on the requirements of each image object. Furthermore, we propose a new object coding method using 2D mesh-based image sampling and interpolation, followed by encoding of the interpolation error image by a traditional data/waveform coding methods. Experimental results on synthetic-natural hybrid test images are provided.

Paper Details

Date Published: 10 January 1997
PDF: 9 pages
Proc. SPIE 3024, Visual Communications and Image Processing '97, (10 January 1997); doi: 10.1117/12.263180
Show Author Affiliations
Yucel Altunbasak, Hewlett-Packard Labs. (United States)
A. Murat Tekalp, Univ. of Rochester (United States)


Published in SPIE Proceedings Vol. 3024:
Visual Communications and Image Processing '97
Jan Biemond; Edward J. Delp III, Editor(s)

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