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Predictive-based adaptive switching median filter for impulse noise removal using neural network-based noise detector

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Abstract

A predictive-based adaptive switching median filter for impulse noise removal using neural network-based noise detector (PASMF) is presented. The PASMF has a noise detector stage and a noise filtering stage. The noise detector implemented using feed forward neural network detects impulse noises in the corrupted image. The filter is a modified median filter, which removes detected impulse noise from the image. In contrast to the standard median filter, the PASMF computes the median value after predicting the appropriate values for neighboring corrupted pixels of the current central pixel in the filtering window. The results show that the PASMF gives better performance visually as well as in terms of different performance measures.

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Authors and Affiliations

  1. Department of Computer Science, University of Kerala, Kariavattom, Thiruvananthapuram, 695581, Kerala, India

    Madhu S. Nair & Viju Shankar

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  1. Madhu S. Nair
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  2. Viju Shankar
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Correspondence to Madhu S. Nair.

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Nair, M.S., Shankar, V. Predictive-based adaptive switching median filter for impulse noise removal using neural network-based noise detector. SIViP 7, 1041–1070 (2013). https://doi.org/10.1007/s11760-012-0310-8

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  • DOI: https://doi.org/10.1007/s11760-012-0310-8

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