机构

• 西安光学精密机械研究... [3]
• 长春光学精密机械与物... [1]
• 国家天文台 [1]
• 自动化研究所 [1]

采集方式

• OAI收割 [6]

内容类型

• 期刊论文 [5]
• 会议论文 [1]

发表日期

• 2021 [1]
• 2017 [1]
• 2015 [2]
• 2013 [1]
• 2008 [1]

学科主题

筛选

浏览/检索结果: 共6条，第1-6条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Structured Computational Modeling of Human Visual System for No-reference Image Quality Assessment 期刊论文  OAI收割 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 204-218 作者:  Wen-Han Zhu;  Wei Sun   |  收藏  |  浏览/下载：30/0  |  提交时间：2021/04/22 Image quality assessment (IQA)  no-reference (NR)  structural computational modeling  human visual system  visual feature extraction   Multi-Task Rank Learning for Image Quality Assessment 期刊论文  OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2017, 卷号: 27, 期号: 9, 页码: 1833-1843 作者:  Yan, Yihua;  Xu, Long;  Li, Jia;  Lin, Weisi;  Zhang, Yongbing   |  收藏  |  浏览/下载：40/0  |  提交时间：2017/12/06 Image Quality Assessment (Iqa)  Machine Learning (Ml)  Mean Opinion Score (Mos)  Pairwise Comparison  Rank Learning   Learning to Rank for Blind Image Quality Assessment 期刊论文  OAI收割 ieee transactions on neural networks and learning systems, 2015, 卷号: 26, 期号: 10, 页码: 2275-2290 作者:  Gao, Fei;  Tao, Dacheng;  Gao, Xinbo;  Li, Xuelong 收藏  |  浏览/下载：27/0  |  提交时间：2015/11/13 Image quality assessment (IQA)  learning preferences  learning to rank  multiple kernel learning (MKL)  universal blind IQA (BIQA)   Blind Image Quality Assessment via Deep Learning 期刊论文  OAI收割 ieee transactions on neural networks and learning systems, 2015, 卷号: 26, 期号: 6, 页码: 1275-1286 作者:  Hou, Weilong;  Gao, Xinbo;  Tao, Dacheng;  Li, Xuelong 收藏  |  浏览/下载：54/0  |  提交时间：2015/07/22 Deep learning  image quality assessment (IQA)  natural scene statistics (NSS)  no reference   Universal Blind Image Quality Assessment Metrics Via Natural Scene Statistics and Multiple Kernel Learning 期刊论文  OAI收割 ieee transactions on neural networks and learning systems, 2013, 卷号: 24, 期号: 12, 页码: 2013-2026 作者:  Gao, Xinbo;  Gao, Fei;  Tao, Dacheng;  Li, Xuelong 收藏  |  浏览/下载：38/0  |  提交时间：2015/06/09 Exponential decay characteristic (EDC)  image quality assessment (IQA)  multiple kernel learning (MKL)  natural scene statistics (NSS)   Analysis and design of No-Reference Image Quality Assessment (EI CONFERENCE) 会议论文  OAI收割 2008 International Conference on MultiMedia and Information Technology, MMIT 2008, December 30, 2008 - December 31, 2008, Three Gorges, China 作者:  Wang L.;  Wang L.;  Wang L. 收藏  |  浏览/下载：15/0  |  提交时间：2013/03/25 No-Reference (NR) Image Quality Assessment (IQA) seeks to assign quality scores that are consistent with human perception but without an explicit comparison with the reference image. Unfortunately  the field of NR IQA has been largely unexplored. The basic problems in NR IQA are discussed in this paper. and several methods used in NR IQA are explained and analyzed. Finally  an overall NR IQA method is designed. It should be a synthetical index  which applying fuzzy measures and fuzzy integrals  incorporating Human Vision System (HVS) characteristics and adhering to the philosophy of quantifying quality through blind distortion measurement. 2008 IEEE.