Reconstruction of Images Distorted by Defocusing and Blurring without Determining the Type and Parameters of the Hardware Function
| Autor: | V. A. Korotkov, K. V. Korotkov, A. V. Kokoshkin, E. P. Novichikhin |
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| Rok vydání: | 2019 |
| Předmět: |
010302 applied physics
Physics Radiation business.industry Spectrum (functional analysis) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications 02 engineering and technology Function (mathematics) Type (model theory) Condensed Matter Physics 01 natural sciences Frequency spectrum Electronic Optical and Magnetic Materials Image (mathematics) Renormalization Constraint (information theory) 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering business Computer hardware Sign (mathematics) |
| Zdroj: | Journal of Communications Technology and Electronics. 64:569-580 |
| ISSN: | 1555-6557 1064-2269 |
| DOI: | 10.1134/s1064226919060044 |
| Popis: | —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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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