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	Structured Computational Modeling of Human Visual System for No-reference Image Quality Assessment 期刊论文 International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 2, 页码: 204-218 作者: Wen-Han Zhu 收藏 \| 浏览/下载：24/0 \| 提交时间：2021/04/22 Image quality assessment (IQA) no-reference (NR) structural computational modeling human visual system visual feature extraction
	Enhanced image no-reference quality assessment based on colour space distribution 期刊论文 IET IMAGE PROCESSING, 2020, 卷号: 14, 期号: 5, 页码: 807-817 作者: Liu Hao; Li Ce; Zhang Dong; Zhou Yannan; Du Shaoyi 收藏 \| 浏览/下载：17/0 \| 提交时间：2020/06/16 feature extraction image enhancement image colour analysis image resolution reference image enhanced image quality grey-scale image quality low-light images no-reference quality assessment colour space distribution NR image quality assessment model clear target image hypothetical reference images input images X-ray images underwater images dust images FSIM
	No-Reference Quality Assessment of Noise-Distorted Images Based on Frequency Mapping 期刊论文 IEEE ACCESS, 2017, 卷号: 5 作者: Yang, Guangyi; Liao, Yue; Zhang, Qingyi; Li, Deshi; Yang, Wen 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/12/05 No-reference image quality assessment (NR-IQA) frequency mapping (FM) Riesz transform bidimensional empirical mode decomposition (BEMD) contrast sensitivity function (CSF)
	Blind Quality Assessment of Tone-Mapped Images Via Analysis of Information, Naturalness, and Structure 期刊论文 IEEE TRANSACTIONS ON MULTIMEDIA, 2016 Gu, Ke; Wang, Shiqi; Zhai, Guangtao; Ma, Siwei; Yang, Xiaokang; Lin, Weisi; Zhang, Wenjun; Gao, Wen 收藏 \| 浏览/下载：6/0 \| 提交时间：2017/12/03 High dynamic range image quality assessment (IQA) information entropy no-reference (NR) statistical naturalness structural preservation tone mapping DYNAMIC-RANGE IMAGES CONTRAST SCENES PRESERVATION SIMILARITY STATISTICS VISIBILITY DOMAIN MODEL
	No-reference image blur assessment based on discrete orthogonal moments 期刊论文 IEEE Transactions on Cybernetics, 2016, 卷号: Vol.46 No.1, 页码: 39-50 作者: Li, L.; Lin, W.; Wang, X.; Yang, G.; Bahrami, K. 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/31 Blur Image quality assessment (IQA) No-reference (NR) Tchebichef moments Visual saliency
	No-Reference Image Blur Assessment Based on Discrete Orthogonal Moments 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: Vol.46 No.1, 页码: 39-50 作者: Li, Leida; Lin, Weisi; Wang, Xuesong; Yang, Gaobo; Bahrami, Khosro 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/31 Blur image quality assessment (IQA) no-reference (NR) Tchebichef moments visual saliency
	Application-Driven No-Reference Quality Assessment for Dermoscopy Images With Multiple Distortions 期刊论文 IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2016, 卷号: 63, 页码: 1248-1256 作者: Xie, Fengying; Lu, Yanan; Bovik, Alan C.; Jiang, Zhiguo; Meng, Rusong 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/12/30 Application driven dermoscopy image image quality assessment (IQA) multiple distortions no reference (NR)
	NO REFERENCE IMAGE QUALITY ASSESSMENT BASED ON STATISTICAL DISTRIBUTION OF LOCAL SUB-IMAGE-SIMILARITY 会议论文作者: Li, Beilian; Mou, Xuanqin 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/10 Sub-Image-Similarity (SIS) No-reference image quality assessment (NR IQA) MSIS DSIS
	Analysis and modelling of no-reference video quality assessment (EI CONFERENCE) 会议论文 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：13/0 \| 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 2008 International Conference on MultiMedia and Information Technology, MMIT 2008, December 30, 2008 - December 31, 2008, Three Gorges, China Tian Y.; Zhu M.; Wang L. 收藏 \| 浏览/下载：9/0 \| 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.

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