On a problem of numerical sectioning in ophthalmology
A.V. Razgulin, N.G. Iroshnikov, A.V. Larichev, S.D. Pavlov, T.E. Romanenko

 

Lomonosov Moscow State University, Computational Mathematics and Cybernetics Faculty, Moscow, Russia,
Lomonosov Moscow State University, Physics Faculty, Moscow, Russia

Full text of article: Russian language.

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Abstract:
We consider a problem of eye-fundus image reconstruction from different-depth fundus sections based on an image stack, with the images obtained via imaging system's fast refocusing as superposition of 3D object sections and blurred images of adjacent-depth sections. An implicit iterative regularization method in the Fourier plane is used for 3D deconvolution. The results of mathematical modeling have demonstrated that the numerical sectioning shows promise when processing ophthalmological images distorted by various types of noise.

Keywords:
sectioning, 3D deconvolution, convolution, fundus, iterative regularization method.

Citation:
Razgulin AV, Iroshnikov NG, Larichev AV, Pavlov SD, Romanenko TE. On a problem of numerical sectioning in ophthalmology. Computer Optics 2015; 39(5): 777-86. DOI: 10.18287/0134-2452-2015-39-5- 777-786.

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