Generative adversarial networks for single image super resolution in microscopy images

Generative adversarial networks for single image super resolution in microscopy images

Image Super resolution is a widely-studied problem in computer vision, where the objective is to convert a lowresolution image to a high resolution image. Conventional methods for achieving super-resolution such as image priors, interpolation, sparse coding require a lot of pre/post processing and o...

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Bibliographic Details
Main Author:	Gawande, Saurabh
Format:	Others
Language:	English
Published:	KTH, Skolan för elektroteknik och datavetenskap (EECS) 2018
Subjects:	Deep Learning Generative adversarial networks Super resolution High content screening microscopy Computer and Information Sciences Data- och informationsvetenskap
Online Access:	http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-230188

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