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	No-Reference Image Quality Assessment for Multiple Distortions Using Saliency Map Based on Dual-Convolutional Neural Networks
	Li, Jian-Jun; Xu, Lan-Lan; Wang, Zhi-Hui; Chang, Chin-Chen
刊名	13th International Joint Conference on Computer Science and Software Engineering (JCSSE)
	2017
卷号	18页码:1701-1710
关键词	Convolutional neural networks NR-IQA Multiply distorted image quality assessment HSV Saliency map
ISSN号	1607-9264
URL标识	查看原文
WOS记录号	[DB:DC_IDENTIFIER_WOSID]
内容类型	期刊论文
URI标识	http://www.corc.org.cn/handle/1471x/3306347
专题	大连理工大学
作者单位	1.Hangzhou Dianzi Univ, Sch Comp Sci & Technol, Hangzhou, Zhejiang, Peoples R China. 2.Dalian Univ Technol, Sch Software Technol, Dalian, Peoples R China. 3.Feng Chia Univ, Dept Informat Engn & Comp Sci, Taichung, Taiwan.
推荐引用方式 GB/T 7714	Li, Jian-Jun,Xu, Lan-Lan,Wang, Zhi-Hui,et al. No-Reference Image Quality Assessment for Multiple Distortions Using Saliency Map Based on Dual-Convolutional Neural Networks[J]. 13th International Joint Conference on Computer Science and Software Engineering (JCSSE),2017,18:1701-1710.
APA	Li, Jian-Jun,Xu, Lan-Lan,Wang, Zhi-Hui,&Chang, Chin-Chen.(2017).No-Reference Image Quality Assessment for Multiple Distortions Using Saliency Map Based on Dual-Convolutional Neural Networks.13th International Joint Conference on Computer Science and Software Engineering (JCSSE),18,1701-1710.
MLA	Li, Jian-Jun,et al."No-Reference Image Quality Assessment for Multiple Distortions Using Saliency Map Based on Dual-Convolutional Neural Networks".13th International Joint Conference on Computer Science and Software Engineering (JCSSE) 18(2017):1701-1710.

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