An IFS-based image restoration method for impulsive noise contamination

This paper proposes an Iterated Function System (IFS) based image-restoration method. The proposed method can restore images corrupted by impulsive noise according to self-similarity represented by the IFS. Since the IFS is usually used for image coding, it has never been applied to image restoration; and it cannot be utilized for the image restoration as it is. In order to adapt the IFS for image restoration, this paper reforms the conventional criterion for the computation of the IFS parameters to suit for image restoration, and as preprocessing we apply a median filter to the contaminated images prior to computing the IFS parameters. Some simulation results are presented to demonstrate the effectiveness of this method.