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. A visual example is given to demonstrate the performance of the proposed filter. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Zvonarev, P. S., Apalkov, I. V., Khryashchev, V. V., & Reznikova, I. V. (2005). Neural network adaptive switching median filter for the restoration of impulse noise corrupted images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3656 LNCS, pp. 223–230). https://doi.org/10.1007/11559573_28
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