Computational Complexity and Numerical Optimization of Adaptive Kuwahara Filter
Artykuł naukowy w czasopiśmie recenzowany
Czasopismo: Journal of Applied Computer Science (ISSN: 1507-0360)
Rok wydania: 2017
Tom: 25
Numer czasopisma: 1
Strony od-do: 7-21
Streszczenie: 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.
Słowa kluczowe: Noise reduction, Image processing, Image filtering, Computational complexity
Cytowanie w formacie Bibtex:
@article{1,
author = "Krzysztof Bartyzel",
title = "Computational Complexity and Numerical Optimization of Adaptive Kuwahara Filter",
journal = "Journal of Applied Computer Science",
year = "2017",
number = "1",
pages = "7-21"
}
Cytowanie w formacie APA:
Bartyzel, K. (2017). Computational Complexity and Numerical Optimization of Adaptive Kuwahara Filter. Journal of Applied Computer Science, 1, 7-21.