25 May 2005 Filtering of impulse noise in digital signals using logical transform
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Proceedings Volume 5817, Visual Information Processing XIV; (2005); doi: 10.1117/12.603524
Event: Defense and Security, 2005, Orlando, Florida, United States
Abstract
Median filters excel at removing impulse noise from digital signals, with high accuracy and quick running-times. However, they have limitations if the resulting signals are to be used for feature recognition purposes, as they often remove crucial details and add unwanted noise. In this paper, an algorithm for digital filtering using the logical transform is proposed. This method is able to achieve mean-squared-error results similar to median type filters while maintaining image details. Variations of the algorithm allow for greater noise reduction, but at the cost of increased computation.
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Ethan E. Danahy, Sos S. Agaian, Karen A. Panetta, "Filtering of impulse noise in digital signals using logical transform", Proc. SPIE 5817, Visual Information Processing XIV, (25 May 2005); doi: 10.1117/12.603524; https://doi.org/10.1117/12.603524
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KEYWORDS
Digital filtering

Interference (communication)

Electronic filtering

Image filtering

Binary data

Detection and tracking algorithms

Denoising

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