Impulsive noise removal from color video with morphological filtering

Alexey Ruchay; Vitaly Kober

doi:10.1117/12.2272719

19 September 2017 Impulsive noise removal from color video with morphological filtering

Alexey Ruchay, Vitaly Kober

Proceedings Volume 10396, Applications of Digital Image Processing XL; 1039627 (2017) https://doi.org/10.1117/12.2272719
Event: SPIE Optical Engineering + Applications, 2017, San Diego, California, United States

Abstract

This paper deals with impulse noise removal from color video. The proposed noise removal algorithm employs a switching filtering for denoising of color video; that is, detection of corrupted pixels by means of a novel morphological filtering followed by removal of the detected pixels on the base of estimation of uncorrupted pixels in the previous scenes. With the help of computer simulation we show that the proposed algorithm is able to well remove impulse noise in color video. The performance of the proposed algorithm is compared in terms of image restoration metrics with that of common successful algorithms.

Citation Download Citation

Alexey Ruchay and Vitaly Kober "Impulsive noise removal from color video with morphological filtering", Proc. SPIE 10396, Applications of Digital Image Processing XL, 1039627 (19 September 2017); https://doi.org/10.1117/12.2272719

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