Median M-type K-nearest neighbour (MM-KNN) filter to remove impulse noise from corrupted images

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Median M-type K-nearest neighbour (MM-KNN) filter to remove impulse noise from corrupted images

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The median M-type K-nearest neighbour (MM-KNN) filter to remove impulse noise from corrupted images is presented. This filter uses R and M estimators combined with different influence functions. Simulation results have shown that the restoration performance is better than that of other known filters.

Inspec keywords: impulse noise; image restoration; median filters; filtering theory

Other keywords: impulse noise removal; restoration performance; simulation results; nonlinear filters; corrupted images; influence functions; median M-type K-nearest neighbour filter

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

References

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      • W.-Y. Han , J.-C. Lin . Minimum-maximum exclusive mean (MMEM) filter to remove impulse noise from highly corrupted images. Electron. Lett. , 2 , 124 - 125
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