Clustered impulse noise removal from color images with spatially connected rank filtering

Alexey Ruchay; Vitaly Kober

doi:10.1117/12.2236785

27 September 2016 Clustered impulse noise removal from color images with spatially connected rank filtering

Alexey Ruchay, Vitaly Kober

Proceedings Volume 9971, Applications of Digital Image Processing XXXIX; 99712Y (2016) https://doi.org/10.1117/12.2236785
Event: SPIE Optical Engineering + Applications, 2016, San Diego, California, United States

Abstract

This paper deals with impulse noise removal from color images. The proposed noise removal algorithm employs two classical approaches for color image denoising; that is, detection of corrupted pixels and removal of the detected noise by means of local rank filtering. With the help of computer simulation we show that the proposed algorithm can effectively remove impulse noise and clustered impulse noise. 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 "Clustered impulse noise removal from color images with spatially connected rank filtering", Proc. SPIE 9971, Applications of Digital Image Processing XXXIX, 99712Y (27 September 2016); https://doi.org/10.1117/12.2236785

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