Share Email Print
cover

Proceedings Paper

Experiments On Image Coding With Distortion Below Visual Threshold
Author(s): E. Dubois; Y. Rahmouni; F. Lortie
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Two quantization methods for high quality image coding are presented. The goal in both methods is to keep subjective distortion below visual threshold. The first method is a discrete cosine transform coding system. The coefficients of the transformed blocks are quantized with a set. of uniform quantizers with step sizes determine by a parametric function. Subjective experiments were carried out to determine the parameter values which minimize output entropy while keeping distortion at about the threshold of perceptibility. The second method is a vector quantizer on small image blocks. A structured quantizer defined by a few parameters is described, and approximate parameter values for transparent, coding are given.

Paper Details

Date Published: 13 October 1987
PDF: 6 pages
Proc. SPIE 0845, Visual Communications and Image Processing II, (13 October 1987); doi: 10.1117/12.976495
Show Author Affiliations
E. Dubois, INRS Telecommunications (Canada)
Y. Rahmouni, INRS Telecommunications (Canada)
F. Lortie, INRS Telecommunications (Canada)


Published in SPIE Proceedings Vol. 0845:
Visual Communications and Image Processing II
T. Russell Hsing, Editor(s)

© SPIE. Terms of Use
Back to Top