Abstract
Noise reduction is a paramount preliminary step in many computer vision applications in which the presence of undesired noise can distort the results. Lately, the removal of high density salt and pepper noise, as a particular case of impulse noise, has experimented a peak of interest. In this paper, a novel filter, called the improved fuzzy mathematical morphology open-close filter (i-FMMOCS), is presented. This filter considerably improves the results obtained by the so-called fuzzy mathematical morphology open-close filter, through the use of some fuzzy mathematical operators, especially designed to avoid the use of the noisy pixels into the computations. A statistical analysis using some objective restoration measures and the visual comparison of the experimental results show that the proposed filter outperforms significantly several state-of-the-art filters for images corrupted from 5% up to 98% of salt and pepper noise.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.