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Image Quality Assessment Based on Joint Quality-Aware Representation Construction in Multiple Domains
Joint Authors
Ding, Yong
Shang, Xiaobao
Zhao, Xinyu
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-03-06
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Image quality assessment that aims to evaluate the image quality automatically by a computational model plays a significant role in image processing systems.
To meet the need of accuracy and effectiveness, in the proposed method, complementary features including histogram of oriented gradient, edge information, and color information are employed for joint representation of the image quality.
Afterwards, the dissimilarities of the extracted features between the distorted and reference images are quantified.
Finally, support vector regression is used for distortion indices fusion and objective quality mapping.
Experimental results validate that the proposed method outperforms the state-of-the-art methods in terms of consistency with subjective perception and robustness across various databases and different distortion types.
American Psychological Association (APA)
Shang, Xiaobao& Zhao, Xinyu& Ding, Yong. 2018. Image Quality Assessment Based on Joint Quality-Aware Representation Construction in Multiple Domains. Journal of Engineering،Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1184160
Modern Language Association (MLA)
Shang, Xiaobao…[et al.]. Image Quality Assessment Based on Joint Quality-Aware Representation Construction in Multiple Domains. Journal of Engineering No. 2018 (2018), pp.1-12.
https://search.emarefa.net/detail/BIM-1184160
American Medical Association (AMA)
Shang, Xiaobao& Zhao, Xinyu& Ding, Yong. Image Quality Assessment Based on Joint Quality-Aware Representation Construction in Multiple Domains. Journal of Engineering. 2018. Vol. 2018, no. 2018, pp.1-12.
https://search.emarefa.net/detail/BIM-1184160
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1184160