Computational Complexity and Numerical Optimization of Adaptive Kuwahara Filter

Ładowanie...
Miniatura

Data

2017

Tytuł czasopisma

ISSN czasopisma

Tytuł tomu

Wydawca

Wydawnictwo Politechniki Łódzkiej
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