Mixed Noise Removal with External Parameter in Image Denoising
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Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Kırıkkale Üniversitesi
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In this study,a new method has been developed on noise removal, one of the most important partsin image processing. In particular, a new noise removal filter has beendeveloped to removes noise from images the mix of µ and ? values. In thismethod, a new approach is proposed to remove noise when ? value increases while? value is constant. The filter has particularly proven to be more successfulon all of µ values. PSNR have been used to compare the results of the study.The newly developed method has been compared with the median, wiener2, Bayesianshrink, bilateral, median+bilateral, BM3D, KSVD methods. For example, whenµ-0.10 and ?-0.01 added to Lena image, other algorithms’ PSNR results are19.23-19.35, 18.90, 18.73, 19.60, 19.81, 19.70 while they are 27.06 in our newmethod.
Açıklama
Anahtar Kelimeler
Gaussian Noise, Image Denoising, Noise Removal, Image Enhancement
Kaynak
Uluslararası Mühendislik Araştırma ve Geliştirme Dergisi
WoS Q Değeri
Scopus Q Değeri
Cilt
1
Sayı
2-135