Inverse Techniques for Efficient Corneal Image Restoration

Farouk, Abd El-Rahman; Ashiba, H.I.; Elbanby, G.M.; El-Fishawy, A.S.; Dessouky, M. I.; El- Rabaie, E.M.; Abd El-Samie, F.E.

doi:10.21608/mjeer.2020.103954

Inverse Techniques for Efficient Corneal Image Restoration

Document Type : Original Article

Authors

¹ Department of Electronics and Electrical Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt

² Department of Electronics and Electrical Communications, Bilbis higher institute of Engineering, Bilbis, sharqia , Egypt

³ Department of Automatic Control, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt

10.21608/mjeer.2020.103954

Abstract

This paper presents two proposed approaches for digital restoration of corneal images. The first algorithm is based on Wiener Restoration approach. The second algorithm depends on regularized image restoration. As corneal images are usually acquired with confocal microscopes. Hence if the corneal layer is outside the focus of the microscopes, the image will be blurred. To solve this problem, the restoration process can be applied on the corneal image. Both Linear Minimum Mean Square Error (LMMSE) and regularized restoration are implemented. The evaluation metrics used to test the performance of the proposed restoration approaches are mean square error (MSE), peak signal to noise ratio (PSNR) and correlation coefficient. Simulations results reveal good success in restoration of corneal images refer to the mentioned evaluation metrics and appearance view.

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