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CAS IR Grid
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长春光学精密机械与物... [2]
自动化研究所 [1]
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OAI收割 [3]
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会议论文 [2]
期刊论文 [1]
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2021 [1]
2009 [1]
2008 [1]
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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:33/0
  |  
提交时间:2021/04/22
Image quality assessment (IQA)
no-reference (NR)
structural computational modeling
human visual system
visual feature extraction
Analysis and modelling of no-reference video quality assessment (EI CONFERENCE)
会议论文
OAI收割
2009 International Conference on Computer and Automation Engineering, ICCAE 2009, March 8, 2009 - March 10, 2009, Bangkok, Thailand
Tian Y.
;
Zhu M.
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2013/03/25
Video processing system may introduce some amounts of distortions in the video signal. It is crucial to measure the video quality blindly for most image processing applications which could not obtain the original image. Different Video Quality Assessment (VQA) methods are analysis in this paper. A state of art in the field of No- Reference (NR) VQA is presented. Finally
an ideal NR VQA model is proposed. 2009 IEEE.
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.