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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8707587/ https://www.ncbi.nlm.nih.gov/pubmed/34945408 http://dx.doi.org/10.3390/mi12121558 |