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Proceedings Paper

Adaptive Minimum-Error, Minimum Correlation Image Restoration
Author(s): William A. Pearlman; Balakrishnan Mahesh
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Paper Abstract

A new estimation criterion, called the minimum-error, minimum-correlation (MEMC) criterion, is applied to the point estimation of images in additive noise in conjunction with calculation of local statistical parameters in an adaptive analysis window. The MEMC estimator produces sharper and hence more visually pleasing restorations than the usual minimum mean squared error estimator and the use of adaptive analysis windows tends to isolate the locally stationary portions of the image in calculation of image statistics. As most of the remaining noise in these restorations resides on the edges within the images, a postprocessing step of edge detection and edge smoothing is then applied for its reduction. Such image restorations are compared to those of minimum mean squared error in both fixed and adaptive window implementations.

Paper Details

Date Published: 18 January 1988
PDF: 5 pages
Proc. SPIE 0829, Applications of Digital Image Processing X, (18 January 1988); doi: 10.1117/12.942102
Show Author Affiliations
William A. Pearlman, Rensselaer Polytechnic Institute (United States)
Balakrishnan Mahesh, Rensselaer Polytechnic Institute (United States)

Published in SPIE Proceedings Vol. 0829:
Applications of Digital Image Processing X
Andrew G. Tescher, Editor(s)

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