Öklid Mesafe Tabanlı Uyarlamalı Filtre Kullanılarak Tuz Biber Gürültüsü Giderimi

Günümüzde teknolojinin gelişmesiyle dış dünyadan görüntülerin alınması aşamasında bazı bozucu etkilerden dolayı görüntülerin bozulması söz konusudur. Bu bozucu etkilerden biri de tuz ve biber gürültüsüdür. Bu yazıda, tuz ve biber gürültülerinin giderilmesi için Öklid Mesafesi Tabanlı Uyarlamalı Filtre (Euclidean Distance Based Adaptive Filter-EDBAF) isimli yeni bir filtre önerilmektedir. Bu yaklaşımda işlem pencerelerindeki gürültüsüz piksellerin merkez piksele olan mesafelerine göre merkez piksele ne kadar etki edeceği hesaplanmaktadır. Bu sayede imgenin iyileştirilmesi gerçekleştirilmektedir. Bu yaklaşım farklı test imgeleri üzerinde farklı görüntü kalitesi parametreleri üzerinden test edilmiştir. Diğer mevcut filtrelere oranla düşük ve yüksek gürültü yoğunluğunda daha iyi sonuç verdiği doğrulanmıştır.

Anahtar Kelimeler:

Görüntü işleme, Görüntü iyileştirme, Gürültü giderme, Uyarlamalı filtre, Tuz ve biber gürültüsü

Salt Pepper Noise Reduction Using Euclidean Distance Based Adaptive Filter

Nowadays, with the development of technology, there is a possibility of corruption of the image due to some disturbing effects during the image retrieval from the external world. One of these disruptive effects is salt and pepper noise. In this paper, a new filter which called Euclidean Distance Based Adaptive Filter (EDBAF) is proposed to remove salt and pepper noise. In this approach, it is calculated how much the noiseless pixels in the process pixel will affect the center pixel than the center pixel distances. In this way, it has been performed to image enhancement. This approach has been tested on different test images with different image quality parameters. It has been verified that it is better at low and high noise density than other existing filters.

Keywords:

Görüntü işleme, Görüntü iyileştirme, Gürültü giderme, Uyarlamalı filtre, Tuz ve biber gürültüsü,

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