Share Email Print

Proceedings Paper

Adaptive cosine transform coding using marginal analysis
Author(s): Wei-Wei Lu; Michael Paul Gough
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

An adaptive cosine tranform coding algorithm is proposed for data compression. The algorithm employs cosine transform and marginal analysis technique to convert data from time domain to frequency domain and achieve bit allocation for the quantization of the signal in its frequency domain. Compared with the conventional cosine transform coding which employs a logarithm approach to bit allocation, this algorithm yields lower mean squared quantization errors. The simulation result is presented here for waveform signal coding but, with a 2D cosine transform, the algorithm is applicable also to image signals.

Paper Details

Date Published: 16 June 1995
PDF: 5 pages
Proc. SPIE 2488, Visual Information Processing IV, (16 June 1995); doi: 10.1117/12.212002
Show Author Affiliations
Wei-Wei Lu, Univ. of Sussex (United Kingdom)
Michael Paul Gough, Univ. of Sussex (United Kingdom)

Published in SPIE Proceedings Vol. 2488:
Visual Information Processing IV
Friedrich O. Huck; Richard D. Juday, Editor(s)

© SPIE. Terms of Use
Back to Top