Open AccessInterpolation‐based impulse noise removal
Author(s) -
Kalyoncu Cem,
Toygar Önsen,
Demirel Hasan
Publication year - 2013
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.2013.0146
Subject(s) - impulse noise , computer science , interpolation (computer graphics) , noise reduction , impulse (physics) , noise (video) , linear interpolation , algorithm , pixel , artificial intelligence , mathematics , computer vision , image (mathematics) , pattern recognition (psychology) , physics , quantum mechanics
Interpolation‐Based Impulse Noise Removal (IBINR), a fast and simple algorithm is proposed to remove fixed valued impulse noise in this study. The proposed method removes all noisy pixels from the image and determines their values using non‐linear interpolation. Compared with the state‐of‐the‐art noise removal algorithms, IBINR has the highest or comparable performance in terms of photographic image denoising power and resource efficiency: it runs in shorter amount of time and does not have any significant additional memory requirements due to the fact that costly sorting operations are avoided.