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Optical Engineering

Local activity indicators for hard-switching adaptive filtering of images with mixed noise
Author(s): Vladimir P. Melnik; Vladimir V. Lukin; Alexander A. Zelensky; Jaakko T. Astola; Pauli Kuosmanen
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Paper Abstract

We present a quantitative analysis of several local activity indicator properties and provide comparisons between them. We illustrate that the considered local activity indicators can be applied as adaptation parameters to locally adaptive hard-switching processing (filtering) of images. The cases where images are corrupted with additive or multiplicative noise having different probability density functions and, possibly, spikes are considered. The advantages of the designed adaptive hard-switching filtering algorithms are discussed and demonstrated for simulated data. Recommendations concerning the selection of local activity indicators and threshold values are given.

Paper Details

Date Published: 1 August 2001
PDF: 15 pages
Opt. Eng. 40(8) doi: 10.1117/1.1385815
Published in: Optical Engineering Volume 40, Issue 8
Show Author Affiliations
Vladimir P. Melnik, Tampere Univ. of Technology (Finland)
Vladimir V. Lukin, National Aerospace Univ. (Ukraine)
Alexander A. Zelensky, National Aerospace Univ. (Ukraine)
Jaakko T. Astola, Tampere Univ. of Technology (Finland)
Pauli Kuosmanen, Tampere Univ. of Technology (Finland)


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