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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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