Comparative Analysis of Noise Filtering Performance of Quadratic Image Filters Article Sidebar

Süleyman Uzun; Devrim Akgün

Comparative Analysis of Noise Filtering Performance of Quadratic Image Filters Article Sidebar

Abstract

Quadratic image filters belongto a subclass of nonlinear model known as Volterra filters. Because of the nonlinear characteristics of images, nonlinear image filters generally produce better results than linear filters. In the present study, performance of the Quadratic image filters for Gaussian noise is examined by comparing with Gaussian filter and Median filter. For this purpose, the mask weights used were determined by using Differential Evolution algorithm on synthetic training images. Noise added colourtest images were filtered using Quadratic image filter using the calculated weights and the results were compared with Gaussian filter and Median image filte

Keywords

Differential Evolution Algorithm , Gaussian Filtering , Noise Removal , Quadratic Image Filter

Kaynakça

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Ayrıntılar

Birincil Dil

İngilizce

Konular

Yapay Yaşam ve Karmaşık Uyarlanabilir Sistemler

Bölüm

Araştırma Makalesi

Yazarlar

Süleyman Uzun
Türkiye

Devrim Akgün
Türkiye

Yayımlanma Tarihi

29 Aralık 2019

Gönderilme Tarihi

1 Aralık 2019

Kabul Tarihi

27 Aralık 2019

Yayımlandığı Sayı

Yıl 1970 Cilt: 2 Sayı: 2

IZ

https://izlik.org/JA93UN73ZE

IEEE

[1]S. Uzun ve D. Akgün, “Comparative Analysis of Noise Filtering Performance of Quadratic Image Filters Article Sidebar”, DataSCI, c. 2, sy 2, ss. 13–16, Ara. 2019, [çevrimiçi]. Erişim adresi: https://izlik.org/JA93UN73ZE