Sayısal Holografide Geri Elde Edilen Görüntünün İyileştirilmesi İçin Yapay Sinir Ağları Metodunun Kullanılması

Year 2018, Volume: 8 Issue: 2, 561 - 569, 01.06.2018

Gülhan Ustabaş Kaya Zehra Saraç

Abstract

Bu makalenin amacı, yapay sinir ağları yaklaşımını sayısal holografide hologramdan geri elde edilen üç boyutlu görüntünün iyileştirilmesi için kullanmaktır. Gerchberg-Saxton algoritmasına dayalı yapay sinir ağları metodu, gürültünün azaltılması ve bu görüntünün parlaklığının arttırılması için uygulanmıştır. Önerilen metodun sonuçları, bağıl hata ile sunulmuştur. Ayrıca, bu bağıl hata şekilleri, MATLAB yapay sinir ağları araç kutusu ile elde edilen hata histogramları ile desteklenmiştir

Keywords

Yapay sinir ağları, Sayısal holografi, Gerchberg-Saxton algoritması, Görüntü iyileştirme

Usage of artificial neural networks method for image enhancement of reconstructed image in digital holography

Abstract

The aim of paper is to use an artificial neural network approach for enhancement of three dimensional image reconstructed in digital holography. An artificial neural network method based on Gerchberg-Saxton algorithm is implemented to reduce the noise and increase the brightness of this image. The results of proposed method have been presented by a relative error. In addition, these relative error figures are supported with error histogram obtained from MATLAB neural network fitting toolbox.

Keywords

Digital holography, Artificial neural network, Gerchberg-Saxton algorithm, image enhancement

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