IEEE Signal Processing Letters, vol. 5, no. 1, pp. 4-7, Jan. 1998


Restoration of Impulse Noise Corrupted Images Using Long-range Correlation 

 Zhou Wang1, 2 and Dapeng Zhang1

1 Department of Computer Science, City University of Hong Kong, Hong Kong, China

2 Dept. of Communication & Electronic Engineering, South China Univ. of Tech., Guangzhou, China

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Abstract: We present a new algorithm that can remove impulse noise from corrupted images while preserving details. The algorithm is fundamentally different from the traditional methods in that it can utilize information not just of a local window centered about the corrupted pixel, but also of some remote regions in the image. Computer simulations indicate that our algorithm outperforms many existing techniques.

Index Terms: noise; impulse noise corrupted images; long-range correlation; filtering algorithm; impulse noise removal; image detail preservation; local window; corrupted pixel; remote image regions; computer simulations; image restoration