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Proceedings Paper

Image restoration by multistage adaptive center weighted median filters
Author(s): Tong Sun; Moncef Gabbouj; Yrjo A. Neuvo
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Paper Abstract

Multistage data-dependent center-weighted-median (CWM) filters, which contain a cascade of several adaptive CWM filters based on local statistics, are presented in this paper for image restoration. Window shapes on different stages, which are oriented in different important correlation directions of images, can be different. The selection of a window shape on each stage provides additional flexibility for the design of filters in order to improve the filtering performance. One important merit of the method is to remove noise in all regions of images, including detail regions, but still preserve the details. The performance of the proposed filters is better than the corresponding 2D single-stage filters with the same window size in many cases. Computer simulations are provided to asses the performance of the proposed filters.

Paper Details

Date Published: 1 May 1994
PDF: 12 pages
Proc. SPIE 2180, Nonlinear Image Processing V, (1 May 1994); doi: 10.1117/12.172571
Show Author Affiliations
Tong Sun, Tampere Univ. of Technology (Finland)
Moncef Gabbouj, Tampere Univ. of Technology (Finland)
Yrjo A. Neuvo, Tampere Univ. of Technology (Finland)

Published in SPIE Proceedings Vol. 2180:
Nonlinear Image Processing V
Edward R. Dougherty; Jaakko Astola; Harold G. Longbotham, Editor(s)

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