Share Email Print

Proceedings Paper

Results Concerning Image Restoration Applications Of The Mutual Information Principle
Author(s): Joseph P. Noonan; James R Marcus
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Results from the mutual information principle, or MIP, approach to image restoration are presented. The MIP approach to image restoration, based on minimizing the mutual information of an image degradation system model subject to known prior statistical knowledge constraints, is briefly reviewed. An implementation of the MIP image restoration equations is then discussed. The results from a number of examples show the MIP technique to be a robust image restoration approach with apparently none of the convergence difficulties associated with similar techniques.

Paper Details

Date Published: 16 December 1988
PDF: 8 pages
Proc. SPIE 0974, Applications of Digital Image Processing XI, (16 December 1988); doi: 10.1117/12.948422
Show Author Affiliations
Joseph P. Noonan, Tufts University (United States)
James R Marcus, Bedford Research Associates (United States)

Published in SPIE Proceedings Vol. 0974:
Applications of Digital Image Processing XI
Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?