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Optical Engineering

Adaptive estimators for filtering noisy images
Author(s): Balakrishnan Mahesh; Woo-Jin Song; William A. Pearlman
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Paper Abstract

A new estimation criterion called the minimum-error minimum correlation (MEMC) criterion is implemented in conjunction with an adaptive windowing technique. The image statistics are calculated within the window, the dimensions of which vary depending on the local statistics. The MEMC estimator produces sharper and hence visually more pleasing restorations, while the adaptive windows tend to isolate regions of the image that are locally stationary. Since most of the error after restoration is in the vicinity of edges, a postprocessing step of filtering along the edges is applied. These image restorations are compared to both fixed and adaptive minimum mean squared error estimators.

Paper Details

Date Published: 1 May 1990
PDF: 7 pages
Opt. Eng. 29(5) doi: 10.1117/12.55617
Published in: Optical Engineering Volume 29, Issue 5
Show Author Affiliations
Balakrishnan Mahesh, VLSI Systems and Video Communications (United States)
Woo-Jin Song, Pohang Institute of Science and Technology (South Korea)
William A. Pearlman, Rensselaer Polytechnic Institute (United States)

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