Sayısal Holografide İkili Kodlu Genetik Algoritma ve Faz Düzeltme Kullanarak Görüntünün Yeniden Oluşturulmasının İncelenmesi

Year 2021, , 1338 - 1350, 30.09.2021

Tuğba Özge Onur , Gülhan Ustabas Kaya

https://doi.org/10.31202/ecjse.927520

Abstract

Görüntü işlemede, görüntünün yeniden oluşturulması temel bir işlemdir ve görüntülerin mümkün olan en düşük gürültü ve en yüksek doğrulukla yeniden oluşturulması istenir. Sayısal holografi, yaygın olarak Hızlı Fourier Dönüşümünü (FFT) kullanan görüntü yeniden oluşturma yöntemlerinden biridir. Ancak, sayısal holografinin yeniden oluşturma sürecinde gürültüyü azaltmak veya sayısal hologramı optimize etmek için genetik algoritma (GA) gibi çeşitli yinelemeli yöntemler kullanılabilir. Bu çalışmada, sayısal holografide ikili kodlu genetik algoritma (BGA) kullanılarak gerçekleştirilen bir görüntü yeniden oluşturma sunulmaktadır. Bu amaçla, camdan yapılmış bir yıldız nesnenin görüntüsü hem orjinal olarak hem de orijinal olarak yeniden yapılandırılana benzer bir çözüm bulmak için BGA kullanılarak yeniden oluşturulmaktadır. Ayrıca yeniden oluşturulan görüntüdeki faz düzeltme etkisi Goldenstein ve Quality guided path teknikleri olmak üzere iki farklı yöntem kullanılarak değerlendirilmektedir. Elde edilen sonuçlar, BGA'nın orijinal olarak yeniden oluşturulan görüntüye oldukça benzer bir çözüm sağladığından, sayısal holografide yaygın olarak kullanılan yeniden oluşturma işlemine bir alternatif olarak düşünülebileceğini göstermektedir. Ayrıca, faz bilgisine sahip 3 boyutlu (3D) görüntü, faz düzeltme teknikleri ile elde edildiğinden, daha kaliteli görüntülere sahip olunmasını sağlar.

Keywords

Sayısal holografi, görüntü yeniden oluşturma, ikili kodlu genetik algoritma, faz düzeltme.

Evaluation of Image Reconstruction Using Binary Genetic Algorithm and Unwrapping in Digital Holography

Abstract

Image reconstruction is a fundamental task of image processing and images are desired to be reconstructed with the lowest noise and most accuracy possible. Digital holography is one of the methods for image reconstruction that uses Fast Fourier Transform (FFT) as a commonly tool. However, several iterative methods such as genetic algorithm (GA) can be used to decrease the noise or optimize the digital hologram in the reconstuction process for digital holography. In this paper, we propose an image reconstruction task that is performed by using binary genetic algorithm (BGA) in digital holography. In this scheme, the image of a glass made star object is reconstructed both orginally and also by using BGA to find a similar solution to the originally reconstructed one. In addition, unwrapping effect in the reconstructed image is evaluated by using two different methods that are Goldenstein's and Quality guided path following techniques. The obtained results indicate that since BGA provides a solution with higher similarity to the originally reconstructed one, it can be considered as an alternative to common reconstruction process in digital holography. In addition, since 3-dimensional (3D) image with phase information is obtained by unwrapping techniques, it provides to have better quality images.

Keywords

Digital holography, image reconstruction, binary genetic algorithm, unwrapping

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