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An Efficient Procedure for Removing Random-Valued Impulse Noise in Images

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3 Author(s)
Hancheng Yu ; Sch. of Inf. Sci. & Eng., Southeast Univ., Nanjing ; Li Zhao ; Haixian Wang

In this letter, we present an efficient algorithm for the removal of random-valued impulse noise from a corrupted image by using a reference image. The proposed method uses a statistic of rank-ordered relative differences to identify pixels which are likely to be corrupted by impulse noise. Once a noisy pixel is identified, its value is restored by a simple weighted mean filter. Simulation results indicate that our algorithm provides a significant improvement over many other existing techniques.

Published in:

Signal Processing Letters, IEEE  (Volume:15 )