Impulsive Noise Removal Using Threshold Boolean Filtering Based on the Impulse Detecting Functions.

A new filter for impulsive noise removal is presented here. The problem of impulsive noise elimination is closely connected with the problem of maximal preservation of image edges. To avoid smoothing of the image during filtering, all noisy pixels must be detected. We consider here an approach, which is based on threshold Boolean filtering, where the binary slices of an image, obtained by the threshold decomposition, are processed by the impulse-detecting Boolean functions proposed in the paper. These functions provide a possibility of single-pass filtering, because they detect and replace impulses at the same time. [ABSTRACT FROM AUTHOR]