Open AccessNeighbourhood decision based impulse noise filter
Author(s) -
Samantaray Aswini Kumar,
Kanungo Priyadarshi,
Mohanty Bibhuprasad
Publication year - 2018
Publication title -
iet image processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.401
H-Index - 45
eISSN - 1751-9667
pISSN - 1751-9659
DOI - 10.1049/iet-ipr.2017.1372
Subject(s) - impulse noise , median filter , salt and pepper noise , computer science , pixel , filter (signal processing) , artificial intelligence , phase noise , noise (video) , neighbourhood (mathematics) , noise measurement , value noise , image noise , computer vision , mathematics , pattern recognition (psychology) , noise reduction , noise floor , optics , physics , image processing , image (mathematics) , mathematical analysis
A novel impulse noise filter that preserves the image details and effectively suppresses high‐density noise has been proposed in this work. The proposed filter works in two phases: (i) noise pixel detection phase and (ii) noise pixel restoration phase. In the detection phase, the impulse noise corrupted pixels are detected using a neighbourhood decision approach. In the second phase, the true values of corrupted pixels are restored using a first‐order neighbourhood decision approach. Experiments are carried out with both grey scale and colour images of various resolutions, texture and structures. The proposed scheme has high peak‐signal‐to‐noise ratio and better visual quality in comparison to the standard median filter, modified decision based unsymmetrical trimmed median filter and improved fast peer‐group filter with a varying noise density from 10 to 90%.