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Zvýšení kvality fotografie s použitím hlubokých neuronových sítí / Superresulution of photography using deep neural network

This diploma thesis deals with image super-resolution with conservation of good quality. Firstly, there are described state of the art methods dealing with this problem, as well as principles of neural networks with focus on convolutional ones. Finally, there is described a few models of convolutional neural network for image super-resolution to double size, which have been trained, tested and compared on newly created database with pictures of people.

Identiferoai:union.ndltd.org:nusl.cz/oai:invenio.nusl.cz:377334
Date January 2018
CreatorsHolub, Jiří
ContributorsPřinosil, Jiří, Burget, Radim
PublisherVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií
Source SetsCzech ETDs
LanguageCzech
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/masterThesis
Rightsinfo:eu-repo/semantics/restrictedAccess

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