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Version 1
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Overview of High Dynamic Range Image Quality Assessment
Version 1
: Received: 9 August 2024 / Approved: 13 August 2024 / Online: 13 August 2024 (12:03:30 CEST)
How to cite: Liu, Y.; Tian, Y.; Wang, S.; Zhang, X.; Kwong, S. T. W. Overview of High Dynamic Range Image Quality Assessment. Preprints 2024, 2024080935. https://doi.org/10.20944/preprints202408.0935.v1 Liu, Y.; Tian, Y.; Wang, S.; Zhang, X.; Kwong, S. T. W. Overview of High Dynamic Range Image Quality Assessment. Preprints 2024, 2024080935. https://doi.org/10.20944/preprints202408.0935.v1
Abstract
In recent years, the High Dynamic Range (HDR) image has gained widespread popularity 1
across various domains such as security, multimedia, and biomedical fields, owing to its ability 2
to deliver an authentic visual experience. However, the extensive dynamic range and rich detail 3
in HDR images present challenges in assessing their quality. Therefore, current efforts involve 4
constructing subjective databases and proposing objective quality assessment metrics to achieve 5
efficient HDR Image Quality Assessment (IQA). Recognizing the absence of a systematic overview 6
of these approaches, this paper provides a comprehensive survey of existing HDR IQA methods. 7
Furthermore, this paper aims to serve as a valuable resource for researchers by discussing the 8
limitations of current methodologies and potential research directions in the future.
Keywords
High dynamic range; Objective Image quality assessment; Subjective Image quality 10 assessment
Subject
Computer Science and Mathematics, Computer Vision and Graphics
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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