Syvät konvoluutioneuroverkot kuvien laadun ja resoluution parantamisessa

Tutkielma on kirjallisuuskatsaus SRCNN-menetelmästä (engl. super-resolution convolutional neural network method) ja sen eri versioista. Näillä menetelmillä voidaan skaalata kuvia suuremmiksi ilman, että lopputuloksesta tulee pikselöitynyt. Yksittäisten kuvien suurentamisen ja pienentämisen lisäksi n...

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Main Author: Pitkänen, Tuomas
Other Authors: Informaatioteknologian tiedekunta, Faculty of Information Technology, Informaatioteknologia, Information Technology, Jyväskylän yliopisto, University of Jyväskylä
Format: Bachelor's thesis
Language:fin
Published: 2019
Subjects:
Online Access: https://jyx.jyu.fi/handle/123456789/64469
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author Pitkänen, Tuomas
author2 Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_facet Pitkänen, Tuomas Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä Pitkänen, Tuomas Informaatioteknologian tiedekunta Faculty of Information Technology Informaatioteknologia Information Technology Jyväskylän yliopisto University of Jyväskylä
author_sort Pitkänen, Tuomas
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description Tutkielma on kirjallisuuskatsaus SRCNN-menetelmästä (engl. super-resolution convolutional neural network method) ja sen eri versioista. Näillä menetelmillä voidaan skaalata kuvia suuremmiksi ilman, että lopputuloksesta tulee pikselöitynyt. Yksittäisten kuvien suurentamisen ja pienentämisen lisäksi niitä voidaan käyttää myös videoiden skaalaamiseen sekä häviöllisestä pakkaamisesta syntyvien jäänteiden vähentämiseen. This thesis is a literature review of a method called super-resolution convolutional neural network (SRCNN) and its different versions. These methods can be used to upscale images without causing pixelation. In addition to upscaling and downscaling single images, they can also be used to scale videos and to reduce artifacts caused by lossy compression.
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spellingShingle Pitkänen, Tuomas Syvät konvoluutioneuroverkot kuvien laadun ja resoluution parantamisessa syvät konvoluutioneuroverkot resoluution suurentaminen kuvanlaadun parantaminen Tietotekniikka Mathematical Information Technology 602 resoluutio (kuvatekniikka) neuroverkot kuvanlaatu
title Syvät konvoluutioneuroverkot kuvien laadun ja resoluution parantamisessa
title_full Syvät konvoluutioneuroverkot kuvien laadun ja resoluution parantamisessa
title_fullStr Syvät konvoluutioneuroverkot kuvien laadun ja resoluution parantamisessa Syvät konvoluutioneuroverkot kuvien laadun ja resoluution parantamisessa
title_full_unstemmed Syvät konvoluutioneuroverkot kuvien laadun ja resoluution parantamisessa Syvät konvoluutioneuroverkot kuvien laadun ja resoluution parantamisessa
title_short Syvät konvoluutioneuroverkot kuvien laadun ja resoluution parantamisessa
title_sort syvät konvoluutioneuroverkot kuvien laadun ja resoluution parantamisessa
title_txtP Syvät konvoluutioneuroverkot kuvien laadun ja resoluution parantamisessa
topic syvät konvoluutioneuroverkot resoluution suurentaminen kuvanlaadun parantaminen Tietotekniikka Mathematical Information Technology 602 resoluutio (kuvatekniikka) neuroverkot kuvanlaatu
topic_facet 602 Mathematical Information Technology Tietotekniikka kuvanlaadun parantaminen kuvanlaatu neuroverkot resoluutio (kuvatekniikka) resoluution suurentaminen syvät konvoluutioneuroverkot
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