State-of-the-Art Approaches for Image Deconvolution Problems, including Modern Deep Learning Architectures
In modern digital microscopy, deconvolution methods are widely used to eliminate a number of image defects and increase resolution. In this review, we have divided these methods into classical, deep learning-based, and optimization-based methods. The review describes the major architectures of neura...
| Auteurs principaux: | , |
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| Format: | Article |
| Langue: | English |
| Publié: |
MDPI AG
2021-12-01
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| Collection: | Micromachines |
| Sujets: | |
| Accès en ligne: | https://www.mdpi.com/2072-666X/12/12/1558 |