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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Vydané v:	Photographies Ročník 16; číslo 2; s. 191 - 210
Hlavný autor:	Wasielewski, Amanda
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Abingdon Routledge 04.05.2023 Taylor & Francis Ltd
Predmet:	Authenticity Automation Deep learning Digital imaging Image resolution Neural networks Photography
ISSN:	1754-0763, 1754-0771, 1754-0771
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