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Proceedings Paper

Wavelet-based image coding using HVS characteristics
Author(s): Mrinal K. Mandal; Sethuraman Panchanathan; Tyseer Aboulnasr
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Paper Abstract

Wavelet transform is becoming increasingly important in image compression applications because of its flexibility in representing nonstationary signals. In wavelet-based compression, coding performance can be improved by exploiting human visual system characteristics. In this paper, we propose an algorithm, optimal in the weighted mean square sense, to quantize the wavelet coefficients. The proposed algorithm provides a superior coding performance.

Paper Details

Date Published: 1 September 1995
PDF: 8 pages
Proc. SPIE 2569, Wavelet Applications in Signal and Image Processing III, (1 September 1995); doi: 10.1117/12.217590
Show Author Affiliations
Mrinal K. Mandal, Univ. of Ottawa (Canada)
Sethuraman Panchanathan, Univ. of Ottawa (Canada)
Tyseer Aboulnasr, Univ. of Ottawa (Canada)

Published in SPIE Proceedings Vol. 2569:
Wavelet Applications in Signal and Image Processing III
Andrew F. Laine; Michael A. Unser, Editor(s)

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