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1887

access icon free Neighbourhood decision based impulse noise filter

© The Institution of Engineering and Technology
Received 14/12/2017, Accepted 23/02/2018, Published 06/03/2018

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%.

Inspec keywords: image restoration; image filtering; median filters; impulse noise; image colour analysis

Other keywords: colour images; noise pixel detection phase; peer-group filter; impulse noise corrupted pixels; high peak-signal-to-noise ratio; neighbourhood decision based impulse noise filter; first-order neighbourhood decision approach; unsymmetrical trimmed median filter; noise pixel restoration phase; grey scale; high-density noise supression

Subjects: Optical, image and video signal processing; Computer vision and image processing techniques

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