Algorithms for multi-frame image super-resolution under applicative noise based on deep neural networks
The article describes algorithms for multi-frame image super-resolution, which recover high-resolution images from a sequence of low-resolution images of the same scene under applicative noise. Applicative noise generates local regions of outlying observations in each image and reduces the image res...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Samara National Research University
2022-02-01
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| Series: | Компьютерная оптика |
| Subjects: | |
| Online Access: | https://computeroptics.ru/eng/KO/Annot/KO46-1/460116e.html |