2017, Tom 25 Nr 1

Stały URI dla kolekcjihttp://hdl.handle.net/11652/3826

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20171

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Autorsearch.filters.applied.operator.equals: search.filters.author.Bartyzel, KrzysztofMa przypisane plikisearch.filters.applied.operator.equals: Tak

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  • Pozycja
    Computational Complexity and Numerical Optimization of Adaptive Kuwahara Filter
    (Wydawnictwo Politechniki Łódzkiej, 2017) Bartyzel, Krzysztof
    Adaprive Kuwahara filter produces very interesting results and significantly improves the efficiency and performance of the original algorithm in the context of noise reduction without blurring the edges. This document contains the experimental and theoretical comparison of the computational complexity of the modified algorithm and the consideration of optimization methods.