AUTHENTICITY AND THE POOR IMAGE IN THE AGE OF DEEP LEARNING

Deep learning techniques are increasingly used to automate categorization and identification tasks for large datasets of digital photographs. For rasterized images formats, such as JPEGs, GIFs, and PNGs, the analysis happens on the level of individual pixels. Given this, digital images used in deep...

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Bibliographic Details

Published in:	Photographies Vol. 16; no. 2; pp. 191 - 210
Main Author:	Wasielewski, Amanda
Format:	Journal Article
Language:	English
Published:	Abingdon Routledge 04.05.2023 Taylor & Francis Ltd
Subjects:	Authenticity Automation Deep learning Digital imaging Image resolution Neural networks Photography
ISSN:	1754-0763, 1754-0771, 1754-0771
Online Access:	Get full text
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