• DocumentCode
    468939
  • Title

    Semi-fragile image watermarking algorithm based on visual features

  • Author

    Che, Sheng-bing ; Ma, Bin ; Che, Zu-guo

  • Author_Institution
    Central South Univ. of Forestry & Technol., Changsha
  • Volume
    1
  • fYear
    2007
  • fDate
    2-4 Nov. 2007
  • Firstpage
    382
  • Lastpage
    387
  • Abstract
    In order to improve the invisibility and the robust ness of semi-fragile watermark,at first the paper puts forward the idea which embedded watermark based on the attacks´ characteristic, then the characteristic and its representation in DWT transform domain based on visual feature model, finally the Quantized Central Limit Theorem which applies to adjusting the coefficients i n general transform domain. These all make semi-fragile watermark embedded through dynamic quantization achieve the greatest robustness. It gives DWT coefficient redressal algorithm and the best restore probability of the pixel value adjusting in experiments when the images are under attack. It leads up to a better invisibility of carrier image and a better robustness to the image processing, such as JPEG compression, noise ad ding, filtering, and a larger amount of embedded information. What´s more, the watermark bits are quarter of original image s size, and it can ascertain the position of vicious attack exactly.
  • Keywords
    discrete wavelet transforms; image coding; image representation; probability; watermarking; DWT transform; image representation; probability; quantized central limit theorem; semifragile image watermarking algorithm; visual feature model; Discrete wavelet transforms; Image coding; Image processing; Image restoration; Information filtering; Noise robustness; Pixel; Quantization; Transform coding; Watermarking; coefficient redressal; human visual feature model; quantized central limit theorem; restore probability; semi-fragile watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1065-1
  • Electronic_ISBN
    978-1-4244-1066-8
  • Type

    conf

  • DOI
    10.1109/ICWAPR.2007.4420698
  • Filename
    4420698