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SETSCI - Volume 1 (2017)
ISMSIT2017 - International Symposium on Multidisciplinary Studies and Innovative Technologies, Tokat, Turkey, Dec 02, 2017

Image enhancement by using Hybrid methods based on Artificial Neural Networks
Gülhan Ustabaş Kaya1*, Zehra Saraç2
1Bulent Ecevit University, Zonguldak, Turkey
2Bulent Ecevit University, Zonguldak, Turkey
* Corresponding author:
Published Date: 2017-12-08   |   Page (s): 133-135   |    654     10

ABSTRACT In this study, the elimination of zero diffraction order and twin image from three dimensional reconstructed images in digital holography and the image enhancement are desired to achieve in a short time by using hybrid methods. In addition, the brightness of the reconstructed three dimensional image is aimed to increase by using hybrid methods based on artificial neural network for the first time. To calculate the accurate phase of the hologram using in Gerchberg-Saxton algorithm (GSA), the Fourier transform algorithm and 1- dimensional continuous wavelet transform (1D-CWT) are used. These methods are expressed as hybrid methods. The usage of 1D-CWT for using in GSA is a first attempt. The intended purpose of using 1D-CWT is to reduce the twin image and zero diffraction order with performing minimum iteration numbers. The ratio of image enhancement is given by calculating the normalized root mean square values.  
KEYWORDS image enhancement, digital holography, hybrid method, Artificial neural network, Gerchberg-Saxton algorithm, 1- dimensional continuous wavelet transform
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