Open AccessLocalised rank‐ordered differences vector filter for suppression of high‐density impulse noise in colour images
Author(s) -
Roig Bernardino,
Estruch Vicente D.
Publication year - 2016
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.2014.0838
Subject(s) - impulse noise , median filter , filter (signal processing) , grayscale , noise (video) , mathematics , linear filter , artificial intelligence , computer vision , computer science , digital filter , pattern recognition (psychology) , image processing , image (mathematics) , pixel
This research presents a complete study of a new alternating vector filter for the removal of impulsive noise in colour images. The method is based on an impulsive noise detector for greyscale images that has been adapted in a localised manner using geometric information for processing colour images. Based on this statistic, a filtering scheme alternating between the identity and a non‐linear vector filter is proposed. A geometric and experimental study was performed to obtain the optimal filter design. Experimental studies show that the proposed technique is simple, easy to implement, robust to noise, and outperforms the classic vector filters, as well as more recent filters.