Perceptual impact of the loss function on deep-learning image coding performance

Nowadays, deep-learning image coding solutions have shown similar or better compression efficiency than conventional solutions based on hand-crafted transforms and spatial prediction techniques. These deep-learning codecs require a large training set of images and a training methodology to obtain a...

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Veröffentlicht in:	Picture Coding Symposium S. 37 - 41
Hauptverfasser:	Mohammadi, Shima, Ascenso, Joao
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 07.12.2022
Schlagworte:	Codecs Crowdsourcing Image coding Image quality image quality metrics Learning-based image compression loss function Measurement percepual pptimization Rate-distortion Training
ISSN:	2472-7822
Online-Zugang:	Volltext
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