Share Email Print

Proceedings Paper

Comparison Of Digital Image Filters And A Hybrid Smoother
Author(s): H. A. Titus; J. L. Pereira
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

In the recent past considerable attention has been devoted to the application of Kalman filtering to smoothing out observation noise in image data. Optimal two-dimensional Kalman filtering algorithms require large amounts of storage and computation. Thus, the study of suboptimum estimators that require less computation is of importance. A comparison of some suboptimum image filters against the optimum non-recursive interpolator is accomplished. A new semi-causal (hybrid) filter is proposed that compensates the suboptimality of a simple two-dimensional recursive filter by means of an optimal combination of its estimate and a few non-causal observations.

Paper Details

Date Published: 28 December 1979
PDF: 9 pages
Proc. SPIE 0207, Applications of Digital Image Processing III, (28 December 1979); doi: 10.1117/12.958232
Show Author Affiliations
H. A. Titus, Naval Postgraduate School (United States)
J. L. Pereira, Naval Postgraduate School (United States)

Published in SPIE Proceedings Vol. 0207:
Applications of Digital Image Processing III
Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top