Object-based wavelet compression using coefficient selection

Lifeng Zhao; Ashraf Ali Kassim

doi:10.1117/12.334693

28 December 1998 Object-based wavelet compression using coefficient selection

Lifeng Zhao, Ashraf Ali Kassim

Proceedings Volume 3653, Visual Communications and Image Processing '99; (1998) https://doi.org/10.1117/12.334693
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

In this paper, we present a novel approach to code image regions of arbitrary shapes. The proposed algorithm combines a coefficient selection scheme with traditional wavelet compression for coding arbitrary regions and uses a shape adaptive embedded zerotree wavelet coding (SA-EZW) to quantize the selected coefficients. Since the shape information is implicitly encoded by the SA-EZW, our decoder can reconstruct the arbitrary region without separate shape coding. This makes the algorithm simple to implement and avoids the problem of contour coding. Our algorithm also provides a sufficient framework to address content-based scalability and improved coding efficiency as described by MPEG-4.

Citation Download Citation

Lifeng Zhao and Ashraf Ali Kassim "Object-based wavelet compression using coefficient selection", Proc. SPIE 3653, Visual Communications and Image Processing '99, (28 December 1998); https://doi.org/10.1117/12.334693

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