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Proceedings Paper

Pyramid median filtering by block threshold decomposition
Author(s): Hongbing Zhou; Bing Zeng; Yrjo A. Neuvo
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Paper Abstract

In this paper, we first introduce the block threshold decomposition (BTD) which can be regarded as a compact form of standard threshold decomposition. The proposed BTD will produce multilevel threshold signals and applies to both discrete and continuous valued signals. Based on BTD, we then introduce a new digital filtering approach, the pyramid median filtering, which consists of a group of median filters, each operating on a BTD signal, and whose window masks form some kind of a pyramid. According to prior knowledge or estimates of the detail distributions and noise characteristics in the received signal or image, it is possible to choose the form of pyramid in order to best accomplish the task at hand. Some properties of the pyramid median filters are analyzed. Application of them to image restoration in impulsive noise shows that this approach provides a better performance than standard median filters.

Paper Details

Date Published: 1 April 1991
PDF: 11 pages
Proc. SPIE 1451, Nonlinear Image Processing II, (1 April 1991); doi: 10.1117/12.44311
Show Author Affiliations
Hongbing Zhou, Tampere Univ. of Technology (Finland)
Bing Zeng, Tampere Univ. of Technology (Finland)
Yrjo A. Neuvo, Tampere Univ. of Technology (Finland)


Published in SPIE Proceedings Vol. 1451:
Nonlinear Image Processing II
Edward R. Dougherty; Gonzalo R. Arce; Charles G. Boncelet, Editor(s)

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