Reduced Reference Image Quality Assessment for JPEG Distortion

被引:0
|
作者
Altous, Salahaldeen [1 ]
Samee, Muhammad Kashif [1 ]
Goetze, Juergen [1 ]
机构
[1] Dortmund Univ Technol, Informat Proc Lab, Otto Hahn Str 4, D-44227 Dortmund, Germany
关键词
Image Quality Assessment; Digital watermarking; JPEG compression;
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
Objective Image Quality Assessment (IQA) aims to automatically measure the quality degradation perceived by human eyes. In this paper, a new reduced-reference image quality assessment algorithm for JPEG distortion (distortion specific metric) has been proposed. This algorithm uses an 8x8 block of the original image (as a reduced-reference) and embeds this block as a watermark. To assess the quality of the image this block is extracted from the watermarked distorted image and is compared with the corresponding block from the same image. Proposed scheme results in the quality factor with which an image was originally compressed, hence gives a direct measure for quality.
引用
收藏
页码:97 / 100
页数:4
相关论文
共 50 条
  • [1] Reduced-reference quality assessment for JPEG-2000 compressed image
    Park, Ha-Joong
    Jung, Ho-Youl
    [J]. IEICE TRANSACTIONS ON COMMUNICATIONS, 2008, E91B (05) : 1287 - 1294
  • [2] A No Reference Image Quality Assessment Method for JPEG2000
    Zhou, Jingchao
    Xiao, Baihua
    Li, Qiudan
    [J]. 2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8, 2008, : 863 - 868
  • [3] Reduced-reference image quality assessment based on distortion families of local perceived sharpness
    Zhang, Yi
    Phan, Thien D.
    Chandler, Damon M.
    [J]. SIGNAL PROCESSING-IMAGE COMMUNICATION, 2017, 55 : 130 - 145
  • [4] Full reference and reduced reference metrics for image quality assessment
    Carnec, M
    Le Callet, P
    Barba, D
    [J]. SEVENTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, VOL 1, PROCEEDINGS, 2003, : 477 - 480
  • [5] No-Reference Image Quality Assessment Using Image Saliency for JPEG Compressed Images
    Song, Zengjie
    Zhang, Jiangshe
    Liu, Junmin
    [J]. JOURNAL OF IMAGING SCIENCE AND TECHNOLOGY, 2016, 60 (06)
  • [6] Geometric directional distortion for full reference image quality assessment
    Cheng, G.
    Cheng, L.
    [J]. ELECTRONICS LETTERS, 2009, 45 (25) : 1305 - 1306
  • [7] Fractal Analysis for Reduced Reference Image Quality Assessment
    Xu, Yong
    Liu, Delei
    Quan, Yuhui
    Le Callet, Patrick
    [J]. IEEE TRANSACTIONS ON IMAGE PROCESSING, 2015, 24 (07) : 2098 - 2109
  • [8] Objective Reduced reference Stereoscopic image quality assessment
    Touzouti, N.
    Serir, A.
    [J]. 2019 INTERNATIONAL CONFERENCE ON ADVANCED ELECTRICAL ENGINEERING (ICAEE), 2019,
  • [9] Visual features for image quality assessment with reduced reference
    Carnec, M
    Le Callet, P
    Barba, D
    [J]. 2005 International Conference on Image Processing (ICIP), Vols 1-5, 2005, : 753 - 756
  • [10] Full Reference Image Quality Assessment of Perceptual Distortion based on Image Retargeting
    Shigwan, S.
    Birajdar, G.
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMMUNICATION AND SIGNAL PROCESSING 2016 (ICCASP 2016), 2017, 137 : 404 - 411