RT Journal Article
A1 Aswini Kumar Samantaray
A1 Priyadarshi Kanungo
A1 Bibhuprasad Mohanty

PB iet
T1 Neighbourhood decision based impulse noise filter
JN IET Image Processing
VO 12
IS 7
SP 1222
OP 1227
AB 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%.
K1 high peak-signal-to-noise ratio
K1 peer-group filter
K1 unsymmetrical trimmed median filter
K1 noise pixel restoration phase
K1 high-density noise supression
K1 impulse noise corrupted pixels
K1 colour images
K1 first-order neighbourhood decision approach
K1 grey scale
K1 noise pixel detection phase
K1 neighbourhood decision based impulse noise filter
DO https://doi.org/10.1049/iet-ipr.2017.1372
UL https://digital-library.theiet.org/;jsessionid=eje0u5qcp3xi.x-iet-live-01content/journals/10.1049/iet-ipr.2017.1372
LA English
SN 1751-9659
YR 2018
OL EN