Reference for citation: Sizikov V. S., Rushchenko N. G. New sustainable methods for distorted image recovering. Journal of Instrument Engineering. 2023. Vol. 66, N 7. P. 559—567 (in Russian). DOI: 10.17586/0021-3454-2023-66-7-559-567.

Abstract. New sustainable methods and algorithms are proposed for recovering object images damaged (distorted, corrupted) as a result of defocusing, spreading, and noising. The type and parameters of damage are estimated by the developed “spectral method”, as demonstrated on the example of distorted images of the Black Sea, and then the image damage is eliminated (removed) based on a stable solution of integral equations using the Tikhonov regularization method and the Fourier transform. The approach makes it possible to increase the resolution of optical instruments - cameras, telescopes, microscopes, etc.ff

Keywords: defocusing, spreading, noising, integral equations, “spectral method” for damage type and parameters estimating, elimination (removal), resection (damage), MatLab

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