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Real-time impulse noise removal

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Abstract

An adaptive interpolation-based impulse noise removal (AIBINR) algorithm is proposed to remove impulse noise from color and gray-scale images in real time. AIBINR works fast and has no need for parameter tuning to remove fixed-valued impulse noise. A GPU application has been developed to demonstrate the speed and inherent parallelization capabilities of the proposed method. Using the high-speed implementation, we have shown that AIBINR can denoise color images fast enough to be used in real-time video denoising, while having comparable denoising performance when compared to the state-of-the-art methods without any modification to its parameters.

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Authors and Affiliations

  1. Department of Computer Engineering, European University of Lefke, Lefke, Northern Cyprus, TR-10 Mersin, Turkey

    Alpaslan Gökcen & Cem Kalyoncu

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  1. Alpaslan Gökcen
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  2. Cem Kalyoncu
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Correspondence to Cem Kalyoncu.

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Gökcen, A., Kalyoncu, C. Real-time impulse noise removal. J Real-Time Image Proc 17, 459–469 (2020). https://doi.org/10.1007/s11554-018-0791-y

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  • DOI: https://doi.org/10.1007/s11554-018-0791-y

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