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

Yucel Altunbasak; A. Murat Tekalp

doi:10.1117/12.263180

10 January 1997 Scalable mesh-based interpolative coding of synthethic and natural image objects

Yucel Altunbasak, A. Murat Tekalp

Proceedings Volume 3024, Visual Communications and Image Processing '97; (1997) https://doi.org/10.1117/12.263180
Event: Electronic Imaging '97, 1997, San Jose, CA, United States

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.

Citation Download Citation

Yucel Altunbasak and A. Murat Tekalp "Scalable mesh-based interpolative coding of synthethic and natural image objects", Proc. SPIE 3024, Visual Communications and Image Processing '97, (10 January 1997); https://doi.org/10.1117/12.263180

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