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Proceedings Paper

Adaptive region-based filtering of multiplicative noise
Author(s): Arup Das; Rangaraj M. Rangayyan
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Paper Abstract

A new adaptive-neighborhood restoration filter to restore images degraded by multiplicative noise is proposed. The filter uses statistics computed over adaptive-neighborhoods which are grown to include statistically stationary regions. Results of application to synthetic and natural images degraded by multiplicative noise show that the proposed method provides better noise removal than a related 3 by 3 neighborhood method without blurring edges.

Paper Details

Date Published: 4 April 1997
PDF: 11 pages
Proc. SPIE 3026, Nonlinear Image Processing VIII, (4 April 1997); doi: 10.1117/12.271138
Show Author Affiliations
Arup Das, Univ. of Calgary (Canada)
Rangaraj M. Rangayyan, Univ. of Calgary (Canada)


Published in SPIE Proceedings Vol. 3026:
Nonlinear Image Processing VIII
Edward R. Dougherty; Jaakko T. Astola, Editor(s)

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