Impulsive noise detection and removal with the use of iterative filter based on gradient adaptive neighborhoods

Mikhail Mozerov; Vitaly Kober

doi:10.1117/12.615727

16 September 2005 Impulsive noise detection and removal with the use of iterative filter based on gradient adaptive neighborhoods

Mikhail Mozerov, Vitaly Kober

Author Affiliations +

Proceedings Volume 5909, Applications of Digital Image Processing XXVIII; 59091W (2005) https://doi.org/10.1117/12.615727
Event: Optics and Photonics 2005, 2005, San Diego, California, United States

Abstract

A new effective algorithm of impulse noise suppression is proposed. First an iterative procedure composes a helper function associated with the filtered image, then this helper function allows realizing efficient impulse detection for the conventional two steps filtering scheme. In our previous papers we suggested a simple adaptive algorithm of impulse noise detection in monochrome images that takes into account the size of signal gradient neighborhoods and image statistics. In this work the detection scheme is noticeably ameliorated. Further investigations shown that the proposed modification of the gradient based impulse detector highly improves the results of the filtering in terms of both subjective and objective criteria.

Citation Download Citation

Mikhail Mozerov and Vitaly Kober "Impulsive noise detection and removal with the use of iterative filter based on gradient adaptive neighborhoods", Proc. SPIE 5909, Applications of Digital Image Processing XXVIII, 59091W (16 September 2005); https://doi.org/10.1117/12.615727

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