Computational Complexity and Numerical Optimization of Adaptive Kuwahara Filter
Data
2017
Autorzy
Tytuł czasopisma
ISSN czasopisma
Tytuł tomu
Wydawca
Wydawnictwo Politechniki Łódzkiej
Lodz University of Technology Press
Lodz University of Technology Press
Abstrakt
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.
Opis
Słowa kluczowe
noise reduction, image processing, image filtering, computational complexity, redukcja szumów, przetwarzanie obrazu, filtrowanie obrazu, złożoność obliczeniowa
Cytowanie
Bartyzel, K. (2017). Computational Complexity and Numerical Optimization of Adaptive Kuwahara Filter. Journal of Applied Computer Science, 25(1), 7-21.
https://doi.org/10.34658/jack.2017.1.7-21