Smart Picture Enlargement Using Neural Networks – Bc. Michal Čaniga
Bc. Michal Čaniga
Bachelor's thesis
Smart Picture Enlargement Using Neural Networks
Smart Picture Enlargement Using Neural Networks
Abstract:
Táto práca je zameraná na inteligentné zvačšovanie fotografií s použitím pokročilých metód syntézy obrazu. Použili sme "super-resolution" GAN sieť implementovanú v Pythone ako fork z knižnice Keras-GAN. Vytvorili sme vlastný malý dataset, na ktorom trénujeme a vyhodnocujeme sieť a porovnávame jej výkon s tradičnými technológiami na zvačšovanie fotografií. Ako evalučné metriky sme použili FID a MSE …moreAbstract:
This thesis focuses on smart picture enlargement using advanced methods of image synthesis. We utilized a super-resolution GAN network implemented in Python as a fork from the Keras-GAN library. We created a small custom dataset on which we train and evaluate the network and compare its performance with traditional techniques for image enlargement. As evaluation metrics, we pick MSE and FID.
Language used: English
Date on which the thesis was submitted / produced: 25. 5. 2021
Identifier:
https://is.muni.cz/th/counf/
Thesis defence
- Date of defence: 30. 6. 2021
- Supervisor: RNDr. David Wiesner
- Reader: doc. RNDr. Martin Maška, Ph.D.
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Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsBachelor programme / field:
Applied Informatics / Applied Informatics