This paper proposes a novel improved median filter algorithm for the images highly corrupted with salt-and-pepper noise. Firstly all the pixels are classified into signal pixels and noisy pixels by using the Max-Min noise detector. The noisy pixels are then separated into three classes, which are low-density, moderate-density, and high-density noises, based on the local statistic information. Finally the weighted 8-neighborhood similarity function filter, the 5×5 median filter and the 4-neighborhood mean filter are adopted to remove the noises for the low, moderate and high level cases, respectively. In experiment, the proposed algorithm is compared with three typical methods, named Standard Median filter, Extremum Median filter and Adaptive Median filter, respectively. The validation results show that the proposed algorithm has better performance for capabilities of noise removal, adaptivity, and detail preservation, especially effective for the cases when the images are extremely highly corrupted.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A novel improved median filter for salt-and-pepper noise from highly corrupted images


    Contributors:


    Publication date :

    2010-06-01


    Size :

    849547 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Adaptive Fuzzy Median Filter for Images Corrupted by Impulse Noise

    Zhou, Yan / Tang, Quan-hua / Jin, Wei-dong | IEEE | 2008


    New decision-based trimmed median filter for high-density salt-and-pepper noise removal in images

    Vijaykumar, V.R. / Santhanamari, G. | British Library Online Contents | 2014


    Algorithms for impulse noise removal from corrupted color images

    Kober, V. / Mozerov, M. / Ovseyevich, I. A. | British Library Online Contents | 2007


    Estimation of salt-pepper noise in images in wavelet domain

    Tianyi, L. / Minghui, W. / Tao, L. et al. | British Library Online Contents | 2012


    A Variational Approach to Reconstructing Images Corrupted by Poisson Noise

    Le, T. / Chartrand, R. / Asaki, T. J. | British Library Online Contents | 2007