Share Email Print

Optical Engineering

Selecting lattices for quantization of wavelet coefficients of images
Author(s): Mikhail Shnaider; Andrew P. Paplinski
Format Member Price Non-Member Price
PDF $20.00 $25.00

Paper Abstract

It is well established that lattice quantizers are highly suitable for encoding wavelet coefficients of still images. Existing lattices give rise to the variety of lattice quantizers available for quantization. In this paper we address the problem of selecting a lattice quantizer for a wavelet- based image coding system and show that the rate-distortion performance of a lattice quantizer can be well estimated based on the generalized Gaussian model of wavelet coefficients of images. Simplification of the rate-distortion function used for the estimation is achieved by utilization of the theta series with the 0.7-norm, which are derived in this paper. As shown by experimental results, our estimation closely matches the real rate-distortion performance of lattice quantizers.

Paper Details

Date Published: 1 May 2000
PDF: 11 pages
Opt. Eng. 39(5) doi: 10.1117/1.602499
Published in: Optical Engineering Volume 39, Issue 5
Show Author Affiliations
Mikhail Shnaider, Motorola (Australia)
Andrew P. Paplinski, Monash Univ. (Australia)

© SPIE. Terms of Use
Back to Top