Semantic Scholar Open Access 2020 557 sitasi

On the use of deep learning for computational imaging

G. Barbastathis

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Abstrak

Deep learning has emerged as a class of optimization algorithms proven to be effective for a variety of inference and decision tasks. Similar algorithms, with appropriate modifications, have also been widely adopted for computational imaging. Here, we review the basic tenets of deep learning and computational imaging, and overview recent progress in two applications: super resolution and phase retrieval.

Topik & Kata Kunci

Computer Science Engineering

Penulis (1)

G. Barbastathis

Format Sitasi

APA MLA BibTeX

Barbastathis, G. (2020). On the use of deep learning for computational imaging. https://doi.org/10.1117/12.2571322

Akses Cepat

Lihat di Sumber doi.org/10.1117/12.2571322

Informasi Jurnal

Tahun Terbit: 2020
Bahasa: en
Total Sitasi: 557×
Sumber Database: Semantic Scholar
DOI: 10.1117/12.2571322
Akses: Open Access ✓