Visual quality assessment : recent developments, coding applications and future trends

Research on visual quality assessment has been active during the last decade. In this work, we provide an in-depth review of recent developments in the field. As compared with existing survey papers, our current work has several unique contributions. First, besides image quality databases and metric...

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Main Authors: Liu, Tsung-Jung, Lin, Yu-Chieh, Lin, Weisi, Kuo, C.-C. Jay
Other Authors: School of Computer Engineering
Format: Journal Article
Language:English
Published: 2014
Subjects:
Online Access:https://hdl.handle.net/10356/106287
http://hdl.handle.net/10220/23993
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author Liu, Tsung-Jung
Lin, Yu-Chieh
Lin, Weisi
Kuo, C.-C. Jay
author2 School of Computer Engineering
author_facet School of Computer Engineering
Liu, Tsung-Jung
Lin, Yu-Chieh
Lin, Weisi
Kuo, C.-C. Jay
author_sort Liu, Tsung-Jung
collection NTU
description Research on visual quality assessment has been active during the last decade. In this work, we provide an in-depth review of recent developments in the field. As compared with existing survey papers, our current work has several unique contributions. First, besides image quality databases and metrics, we put equal emphasis on video quality databases and metrics as this is a less investigated area. Second, we discuss the application of visual quality evaluation to perceptual coding as an example for applications. Third, we benchmark the performance of state-of-the-art visual quality metrics with experiments. Finally, future trends in visual quality assessment are discussed.
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spelling ntu-10356/1062872020-05-28T07:41:41Z Visual quality assessment : recent developments, coding applications and future trends Liu, Tsung-Jung Lin, Yu-Chieh Lin, Weisi Kuo, C.-C. Jay School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Research on visual quality assessment has been active during the last decade. In this work, we provide an in-depth review of recent developments in the field. As compared with existing survey papers, our current work has several unique contributions. First, besides image quality databases and metrics, we put equal emphasis on video quality databases and metrics as this is a less investigated area. Second, we discuss the application of visual quality evaluation to perceptual coding as an example for applications. Third, we benchmark the performance of state-of-the-art visual quality metrics with experiments. Finally, future trends in visual quality assessment are discussed. Published version 2014-10-10T07:24:05Z 2019-12-06T22:08:09Z 2014-10-10T07:24:05Z 2019-12-06T22:08:09Z 2013 2013 Journal Article iu, T.-J., Lin, Y.-C., Lin, W., & Kuo, C.-C. J. (2013). Visual quality assessment : recent developments, coding applications and future trends. APSIPA transactions on signal and information processing, 2, e4. 2048-7703 https://hdl.handle.net/10356/106287 http://hdl.handle.net/10220/23993 10.1017/ATSIP.2013.5 en APSIPA transactions on signal and information processing © 2013 The Authors. The online version of this article is published within an Open Access environment subject to the conditions of the Creative Commons Attribution-NonCommercial-ShareAlike license <http://creativecommons.org/licenses/by-nc-sa/3.0/>. The written permission of Cambridge University Press must be obtained for commercial re-use. 21 p. application/pdf
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Liu, Tsung-Jung
Lin, Yu-Chieh
Lin, Weisi
Kuo, C.-C. Jay
Visual quality assessment : recent developments, coding applications and future trends
title Visual quality assessment : recent developments, coding applications and future trends
title_full Visual quality assessment : recent developments, coding applications and future trends
title_fullStr Visual quality assessment : recent developments, coding applications and future trends
title_full_unstemmed Visual quality assessment : recent developments, coding applications and future trends
title_short Visual quality assessment : recent developments, coding applications and future trends
title_sort visual quality assessment recent developments coding applications and future trends
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
url https://hdl.handle.net/10356/106287
http://hdl.handle.net/10220/23993
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