Title :
Interpolation-based impulse noise removal
Author :
Kalyoncu, Cem ; Toygar, Önsen ; Demirel, Hasan
Author_Institution :
Comput. Eng. Dept., Eastern Mediterranean Univ., Gazimagusa, Cyprus
Abstract :
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.
Keywords :
image denoising; impulse noise; interpolation; photography; IBINR; interpolation-based impulse noise removal algorithm; memory requirement; nonlinear interpolation; photographic image denoising power term; resource efficiency;
Journal_Title :
Image Processing, IET
DOI :
10.1049/iet-ipr.2013.0146