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Proceedings Paper

Optimal nearly uniform scalar quantizer design for wavelet coding
Author(s): Christophe Parisot; Marc Antonini; Michel Barlaud
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Paper Abstract

Uniform scalar quantizers are widely used in image coding. They are known to be optimum entropy constrained scalar quantizers within the high resolution assumption. In this paper, we focus on the design of nearly uniform scalar quantizers for high performance coding of wavelet coefficients whatever the bitrate is. Some codecs use uniform scalar quantizers with a zero quantization bin size (deadzone) equal to two times the other quantization bin sizes (for example JPEG2000). We address the problem of deadzone size optimization using distortion rate considerations. The advantages of the proposed method are that the quantizer design is adapted to both the source statistics and the compression ratio. Our method is based on statistical information of the wavelet coefficients distribution. It provides experimental gains up to 0.19 dB.

Paper Details

Date Published: 4 January 2002
PDF: 9 pages
Proc. SPIE 4671, Visual Communications and Image Processing 2002, (4 January 2002); doi: 10.1117/12.453043
Show Author Affiliations
Christophe Parisot, Univ. de Nice-Sophia Antipolis (France)
Marc Antonini, Univ. de Nice-Sophia Antipolis (France)
Michel Barlaud, Univ. de Nice-Sophia Antipolis (France)

Published in SPIE Proceedings Vol. 4671:
Visual Communications and Image Processing 2002
C.-C. Jay Kuo, Editor(s)

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