Impulse Noise Detection and Removal Using Fuzzy Techniques

IEE Electronics Letters, vol. 33, no. 5, pp. 378-379, Feb. 1997

Impulse Noise Detection and Removal Using Fuzzy Techniques

David Zhang¹, and Zhou Wang^{1, 2}

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

Abstract: A new algorithm is presented which can remove impulse noise from corrupted images while preserving details. The algorithm is based on fuzzy impulse detection and fuzzy noise cancellation techniques. Experimental results show that the algorithm is capable of providing significant improvement over many published techniques in terms of both subjective and objective evaluations.

Index Terms: impulse noise detection; impulse noise removal; fuzzy techniques; corrupted images; fuzzy impulse detection; fuzzy noise cancellation; image enhancement

David Zhang1, and Zhou Wang1, 2

David Zhang¹, and Zhou Wang^{1, 2}