Adaptive Right Median Filter for Salt-and-Pepper Noise Removal
Yazarlar (3)
Karamanoğlu Mehmetbey Üniversitesi, Türkiye
Doç. Dr. Levent GÖKREM
Tokat Gaziosmanpaşa Üniversitesi, Türkiye
Çanakkale Onsekiz Mart Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
|
| Makale Alt Türü | Ulusal alan endekslerinde (TR Dizin, ULAKBİM) yayınlanan tam makale |
| Dergi Adı | Uluslararası Mühendislik Araştırma ve Geliştirme Dergisi |
| Dergi ISSN | 1308-5514 |
| Dergi Tarandığı Indeksler | TR DİZİN |
| Makale Dili | İngilizce |
| Basım Tarihi | 06-2019 |
| Cilt No | 11 |
| Sayı | 2 |
| Sayfalar | 542 / 550 |
| DOI Numarası | 10.29137/umagd.495904 |
| Makale Linki | https://dergipark.org.tr/tr/download/article-file/766584 |
| Özet |
| In image processing, nonlinear filters are commonly used as a pre-process for noise removal before applying any advanced processing such as classification and clustering to an image. The adaptive filters being a kind of the nonlinear filters mainly perform better than the others in salt-and-pepper noise. In this paper, we first define a new median method, i.e. right median (rm). We then define a new adaptive nonlinear filter developed via rm, namely Adaptive Right Median Filter (ARMF), for saltand-pepper noise removal. Afterwards, we compare the results of ARMF with some of the known filters by using 12 test images and two image quality metrics: Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity (SSIM). The results show that ARMF outperforms the other methods at all the noise density except 80% and 90% in the mean percentages. Finally, we discuss the need for further research. |
| Anahtar Kelimeler |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| TRDizin | 1 |
| Google Scholar | 21 |