Filtering of impulse noise in digital signals using logical transform
Ethan E. Danahy, Sos С. Agaian, Karen A. Panetta · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2005
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.