Reconstruction of Images Distorted by Defocusing and Blurring without Determining the Type and Parameters of the Hardware Function
- Autores: Kokoshkin A.1, Korotkov V.1, Korotkov K.1, Novichikhin E.1
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Afiliações:
- Fryazino Branch, Institute of Radio Engineering and Electronics, Russian Academy of Sciences
- Edição: Volume 64, Nº 6 (2019)
- Páginas: 569-580
- Seção: Theory and Methods of Signal Processing
- URL: https://journals.rcsi.science/1064-2269/article/view/200839
- DOI: https://doi.org/10.1134/S1064226919060044
- ID: 200839
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Resumo
Abstract—A new approach to solving the problems reconstructing images distorted by defocusing and blurring is proposed. It is shown that for an alternating amplitude spectrum of the hardware function (HF), the renormalization method with constraint (RMC) with the classical universal reference spectrum (URS) does not lead to successful reconstruction. An algorithm is presented that automatically takes into account the sign of the HF spectrum due to the change in shape of the URS. This algorithm for the reconstruction of a distorted image yields results that weakly depend on the type and parameters of the HF.
Sobre autores
A. Kokoshkin
Fryazino Branch, Institute of Radio Engineering and Electronics, Russian Academy of Sciences
Autor responsável pela correspondência
Email: shvarts65@mail.ru
Rússia, Fryazino, Moscow oblast, 141120
V. Korotkov
Fryazino Branch, Institute of Radio Engineering and Electronics, Russian Academy of Sciences
Email: shvarts65@mail.ru
Rússia, Fryazino, Moscow oblast, 141120
K. Korotkov
Fryazino Branch, Institute of Radio Engineering and Electronics, Russian Academy of Sciences
Email: shvarts65@mail.ru
Rússia, Fryazino, Moscow oblast, 141120
E. Novichikhin
Fryazino Branch, Institute of Radio Engineering and Electronics, Russian Academy of Sciences
Email: shvarts65@mail.ru
Rússia, Fryazino, Moscow oblast, 141120
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