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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Bibliographic Details

Published in:	Visual communications and image processing (Online) pp. 1 - 5
Main Authors:	Upenik, Evgeniy, Testolina, Michela, Ascenso, Joao, Pereira, Fernando, Ebrahimi, Touradj
Format:	Conference Proceeding
Language:	English
Published:	IEEE 05.12.2021
Subjects:	Benchmark testing Codecs Crowdsourcing deep learning Degradation Image coding learning-based compression subjective evaluation Transform coding Visual communication visual quality
ISSN:	2642-9357
Online Access:	Get full text
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