• DocumentCode
    1997295
  • Title

    Research on Quality Evaluation Methods of Watermarked Printing Image Based on Image Dissimilarity

  • Author

    Xiao Yingzhe ; Wang Juanjuan

  • Author_Institution
    Coll. of Packaging & Mater. Eng. Hunan, Univ. of Technolog, Zhuzhou, China
  • fYear
    2013
  • fDate
    3-4 Dec. 2013
  • Firstpage
    149
  • Lastpage
    153
  • Abstract
    The watermarked printing image is a kind of multi-source heterogeneous image, which could be divided into the watermarking embedded process, the printing stage and the authentication phase. Image quality evaluation plays various roles in different image coding stages. In three stages, its functions are in turn providing direct modify data to optimize watermarking algorithms, evaluating robustness of the attacked watermark, and judging the veracity of product packaging, respectively, The idea of image dissimilarity expounds the presentation form, the characteristic direction and the generated reasons of differences before and after images distortion. It aims at using one-dimensional, two-dimensional or multi-dimensional spatial feature to express mathematically the macroscopic or microscopic transformation of the attacked image, At present, the classification method is uncommon that image quality evaluation is divided into image dissimilarity and image similarity. The image quality evaluation methods based on image similarity is numerous, while a few methods based on image dissimilarity are only presented from the two metrics of pixels gray value and singular values. But the latter could just makes up for its some shortages. Then according to the ideal of image similarity, it is feasible to in-depth research and establish the unified quality evaluation standard of watermarked printing image base image dissimilarity.
  • Keywords
    feature extraction; image classification; image coding; image watermarking; printing; attacked image; authentication phase; image classification method; image coding stages; image dissimilarity; image distortion; image quality evaluation method; image similarity; macroscopic transformation; microscopic transformation; multidimensional spatial feature; multisource heterogeneous image; one-dimensional spatial feature; pixel gray value; product packaging; two-dimensional spatial feature; watermarked printing image; watermarking embedded process; Algorithm design and analysis; Digital images; Distortion measurement; Image quality; Packaging; Printing; Watermarking; image dissimilarity; image quality assessment method; image similarity; spatial feature of image; watermarked printing image;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (GCIS), 2013 Fourth Global Congress on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4799-2885-9
  • Type

    conf

  • DOI
    10.1109/GCIS.2013.30
  • Filename
    6805927