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Title: Visual quality assessment : recent developments, coding applications and future trends
Authors: Liu, Tsung-Jung
Lin, Yu-Chieh
Lin, Weisi
Kuo, C.-C. Jay
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2013
Source: 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.
Series/Report no.: APSIPA transactions on signal and information processing
Abstract: 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.
ISSN: 2048-7703
DOI: 10.1017/ATSIP.2013.5
Rights: © 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 <>. The written permission of Cambridge University Press must be obtained for commercial re-use.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Journal Articles

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