Removal of impulsive noise from color images with cascade switching algorithm

Alexey Ruchay; Anastasia Kober; Vladimir Kolpakov; Tatyana Makovetskaya

doi:10.1117/12.2319914

17 September 2018 Removal of impulsive noise from color images with cascade switching algorithm

Alexey Ruchay, Anastasia Kober, Vladimir Kolpakov, Tatyana Makovetskaya

Proceedings Volume 10752, Applications of Digital Image Processing XLI; 1075224 (2018) https://doi.org/10.1117/12.2319914
Event: SPIE Optical Engineering + Applications, 2018, San Diego, California, United States

Abstract

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.

Citation Download Citation

Alexey Ruchay, Anastasia Kober, Vladimir Kolpakov, and Tatyana Makovetskaya "Removal of impulsive noise from color images with cascade switching algorithm", Proc. SPIE 10752, Applications of Digital Image Processing XLI, 1075224 (17 September 2018); https://doi.org/10.1117/12.2319914

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