Adaptive switching median filter with neural network impulse detection step

Authors:
Pavel S. Zvonarev;Ilia V. Apalkov;Vladimir V. Khryashchev;Andrey L. Priorov
Affiliations:
Digital Circuits and Signals Laboratory, Department of Physics, Yaroslavl State University, Yaroslavl, Russia;Digital Circuits and Signals Laboratory, Department of Physics, Yaroslavl State University, Yaroslavl, Russia;Digital Circuits and Signals Laboratory, Department of Physics, Yaroslavl State University, Yaroslavl, Russia;Digital Circuits and Signals Laboratory, Department of Physics, Yaroslavl State University, Yaroslavl, Russia
Venue:
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
Year:
2005

Citing 4
Cited 0

Detail-preserving median based filters in image processing

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A neural network adaptive filter for the removal of impulse noise in digital images

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Adaptive median filters: new algorithms and results

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Abstract

A new neural network adaptive switching median (NASM) filter is proposed to remove salt-and-pepper impulse noise from corrupted image. The algorithm is developed by combining advantages of the known median-type filters with impulse detection scheme and the neural network was included into impulse detection step to improve its characteristics. Comparison of the given method with traditional filters is provided.