Digital Image Filtering with New Generalized Order-k Jacobsthal Numbers
Yazarlar (2)
Hossen Mohammed Mahdi Ahmed Sebha University, Libya
Doç. Dr. Ahmet DAŞDEMİR Kastamonu Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | Comptes Rendus De L Academie Bulgare Des Sciences (Q4) | ||
| Dergi ISSN | 1310-1331 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 08-2022 |
| Kabul Tarihi | – | Yayınlanma Tarihi | 31-08-2022 |
| Cilt / Sayı / Sayfa | 75 / 8 / 1105–1114 | DOI | 10.7546/CRABS.2022.08.02 |
| Makale Linki | http://dx.doi.org/10.7546/crabs.2022.08.02 | ||
| Özet |
| In this paper, a new generalized order-k Jacobsthal and Jacobsthal–Lucas numbers are investigated and used in the digital image processing for filtering of the image. The Gaussian, Morphological operation with “Motion”, Morphological operation with “Disk” specification, Poisson method and Jacobsthal method is used for the filtering. The Structural similarity, Multiscale structural similarity and Peak SNR are used for evaluation of the results. For implementation of the proposed method the Matlab 2021a version is used. |
| Anahtar Kelimeler |
| filtering | generalized order-k Jacobsthal | image processing | Jacobsthal-Lucas numbers |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 1 |
| Scopus | 1 |
| Google Scholar | 1 |