Image quality assessment metrics by using directional projection

被引:0
|
作者
庞建新 [1 ]
张荣 [1 ]
张晖 [1 ]
黄轩 [1 ]
刘政凯 [1 ]
机构
[1] MOE-Microsoft Key Laboratory of Multimedia Computing and Communication,Department of Electronic Engineering and Information Science,University of Science and Technology of China,Hefei 230027
关键词
PSNR; SVD; JPEG; Image quality assessment metrics by using directional projection; DMOS;
D O I
暂无
中图分类号
TP391.41 [];
学科分类号
080203 ;
摘要
Objective image quality measure,which is a fundamental and challenging job in image processing,evaluates the image quality consistently with human perception automatically.On the assumption that any image distortion could be modeled as the difference between the directional projection-based maps of reference and distortion images,we propose a new objective quality assessment method based on directional projection for full reference model.Experimental results show that the proposed metrics are well consistent with the subjective quality score.
引用
收藏
页码:491 / 494
页数:4
相关论文
共 50 条
  • [41] Quality Assessment of Brain MRI Scans using a Dense Neural Network Model and Image Metrics
    Gupta, Ashish
    Sadri, Amir Reza
    Viswanath, Satish E.
    Tiwari, Pallavi
    MEDICAL IMAGING 2020: PHYSICS OF MEDICAL IMAGING, 2020, 11312
  • [42] Geometric directional distortion for full reference image quality assessment
    Cheng, G.
    Cheng, L.
    ELECTRONICS LETTERS, 2009, 45 (25) : 1305 - 1306
  • [43] Steganalysis of watermarking techniques using image quality metrics
    Avcibas, I
    Memon, N
    Sankur, B
    SECURITY AND WATERMARKING OF MULTIMEDIA CONTENTS III, 2001, 4314 : 523 - 531
  • [44] Metrics for Interaction Assessment in Multivariable Control Systems Using Directional Analysis
    Garg, Abhinav
    Tangirala, Arun K.
    INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2018, 57 (03) : 967 - 979
  • [45] Image Tampering Detection Using No-Reference Image Quality Metrics
    Ying Li
    Bo Wang
    Xiang-Wei Kong
    Yan-Qing Guo
    Journal of Harbin Institute of Technology(New series), 2014, (06) : 51 - 56
  • [46] Image tampering detection using no-reference image quality metrics
    Li, Ying
    Wang, Bo
    Kong, Xiang-Wei
    Guo, Yan-Qing
    Journal of Harbin Institute of Technology (New Series), 2014, 21 (06) : 51 - 56
  • [47] New image quality metric using random projection
    Kim, D. -O
    Park, R. -H.
    IET IMAGE PROCESSING, 2012, 6 (09) : 1246 - 1255
  • [48] FAST DIRECTIONAL IMAGE INTERPOLATION WITH DIFFERENCE PROJECTION
    Xiong, Zhiwei
    Zhang, Yonghua
    Sun, Xiaoyan
    Wu, Feng
    ICME: 2009 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO, VOLS 1-3, 2009, : 81 - +
  • [49] Image quality assessment metrics combining structural similarity and image fidelity with visual attention
    Mendi, Engin
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2015, 28 (03) : 1039 - 1046
  • [50] Comparison of the State-of-the-Art Image and Video Quality Assessment Metrics
    Akkaya, Emre
    Ozbek, Nukhet
    29TH IEEE CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS (SIU 2021), 2021,