Two-Dimensional Windowing in the Structural Similarity Index for the Colour Image Quality Assessment

被引:0
|
作者
Okarma, Krzysztof [1 ]
机构
[1] W Pomeranian Univ Technol, Szczecin Fac Elect Engn, Chair Signal Proc & Multimedia Engn, PL-71126 Szczecin, Poland
来源
COMPUTER ANALYSIS OF IMAGES AND PATTERNS, PROCEEDINGS | 2009年 / 5702卷
关键词
colour image quality assessment; Structural Similarity;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents the analysis of the usage of the structural Similarity (SSIM) index for the quality assessment of the colour images with variable size of the sliding window. The experiments leave been performed using the LIVE Image Quality Assessment Database in order to compare the linear correlation of achieved results with the Differential Mean Opinion Score (DMOS) values. The calculations have been done using the value (brightness) channel from the HSV (HSB) colour space as well as commonly used YUV/YIQ luminance channel and the, average of the RGB channels. The analysis of the image resolution's influence on the correlation between the SSIM and DMOS values for varying size of the sliding window is also presented as well as some result's obtained using the nonlinear mapping based on the logistic function.
引用
收藏
页码:501 / 508
页数:8
相关论文
共 50 条
  • [31] Image quality assessment based on the space similarity decomposition model
    Yang, Yang
    Ming, Jun
    SIGNAL PROCESSING, 2016, 120 : 797 - 805
  • [32] Audio quality assessment using the mean structural similarity measure
    Kandadai, Srivatsan
    Hardin, Joseph
    Creusere, Charles D.
    2008 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-12, 2008, : 221 - 224
  • [33] Structural similarity image quality reliability Determining parameters and window size
    Silvestre-Blanes, Javier
    SIGNAL PROCESSING, 2011, 91 (04) : 1012 - 1020
  • [34] Using structural similarity quality metrics to evaluate image compression techniques
    Brooks, Alan C.
    Pappas, Thrasyvoulos N.
    2007 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOL I, PTS 1-3, PROCEEDINGS, 2007, : 873 - +
  • [35] Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual Image Quality Index
    Xue, Wufeng
    Zhang, Lei
    Mou, Xuanqin
    Bovik, Alan C.
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2014, 23 (02) : 684 - 695
  • [36] Similarity Estimation of Textile Materials Based on Image Quality Assessment Methods
    Okarma, Krzysztof
    Frejlichowski, Dariusz
    Czapiewski, Piotr
    Forczmanski, Pawel
    Hofman, Radoslaw
    COMPUTER VISION AND GRAPHICS, ICCVG 2014, 2014, 8671 : 478 - +
  • [37] Image quality assessment via spatial structural analysis
    Yang, Xichen
    Sun, Quansen
    Wang, Tianshu
    COMPUTERS & ELECTRICAL ENGINEERING, 2018, 70 : 349 - 365
  • [38] Image quality measurement through structural similarity based on higher order moments
    Kaur, Swarnjeet
    Kour, Harpreet
    Sen, Debashis
    2016 IEEE ANNUAL INDIA CONFERENCE (INDICON), 2016,
  • [39] A perceptual image quality index based on global and double-random window similarity
    Shi, Zaifeng
    Chen, Kexin
    Pang, Ke
    Zhang, Jiaping
    Cao, Qingjie
    DIGITAL SIGNAL PROCESSING, 2017, 60 : 277 - 286
  • [40] GRADIENT MAGNITUDE SIMILARITY DEVIATION ON MULTIPLE SCALES FOR COLOR IMAGE QUALITY ASSESSMENT
    Zhang, Bo
    Sander, Pedro V.
    Bermak, Amine
    2017 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2017, : 1253 - 1257