Large-Scale Crowdsourcing Subjective Quality Evaluation of Learning-Based Image Coding

Learning-based image codecs produce different compression artifacts, when compared to the blocking and blurring degradation introduced by conventional image codecs, such as JPEG, JPEG 2000 and HEIC. In this paper, a crowdsourcing based subjective quality evaluation procedure was used to benchmark a...

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Veröffentlicht in:	Visual communications and image processing (Online) S. 1 - 5
Hauptverfasser:	Upenik, Evgeniy, Testolina, Michela, Ascenso, Joao, Pereira, Fernando, Ebrahimi, Touradj
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 05.12.2021
Schlagworte:	Benchmark testing Codecs Crowdsourcing deep learning Degradation Image coding learning-based compression subjective evaluation Transform coding Visual communication visual quality
ISSN:	2642-9357
Online-Zugang:	Volltext
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