Removal of impulsive noise from color images with cascade switching algorithm
Alexey Nikolaevich Ruchay, Vladimir Kolpakov, Tatyana Makovetskaya, Anastasia Kober · 2018
This presentation deals with restoration of the image corrupted by impulsive noise using a novel cascade switching algorithm. The algorithm processes iteratively the observed degraded image changing adaptively parameters of the switching filter. With the help of computer simulation, we show that the proposed algorithm is able to effectively remove impulse noise from a highly contaminated image. The performance of the proposed algorithm is compared with that of common successful algorithms in terms of image restoration metrics.