Share Email Print

Proceedings Paper

Some uses for order statistic filtering in image compression
Author(s): Charles G. Boncelet
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

This paper discusses two examples of the design and use of order statistic filters in image compression. The first example is a pre-filter. The pre-filter is designed to gently smooth the image to promote better compression. However, this filter must not blur edges significantly. Various order statistic estimators, such as a simple median, are ideal at this. In the examples given, we are able to achieve between 10 and 20% fewer bits while actually improving image quality. The second example is as a postfilter. The post-filter, used at low bitrates when image degradation is present, is designed to "average out" contouring effects while not averaging across edges.

Paper Details

Date Published: 1 July 1990
PDF: 8 pages
Proc. SPIE 1247, Nonlinear Image Processing, (1 July 1990); doi: 10.1117/12.19596
Show Author Affiliations
Charles G. Boncelet, Univ. of Delaware (United States)

Published in SPIE Proceedings Vol. 1247:
Nonlinear Image Processing
Edward J. Delp, Editor(s)

© SPIE. Terms of Use
Back to Top