• DocumentCode
    2158681
  • Title

    A Digital Watermarking Algorithm Based on Characters of the Remote-Sensing Imagery

  • Author

    Chen, Qing ; Xie, Pei-Pei ; Ma, Wen-Jun ; Wei, Wei-Yin ; Ai, Li-Hua

  • Author_Institution
    Sch. of Opt.-Electr. & Comput. Eng., Univ. of Shanghai for Sci. & Technol., Shanghai, China
  • fYear
    2010
  • fDate
    24-26 Aug. 2010
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    With the expansion of the market potential and product distribution of remote sensing data and images, the need of protection for those image products is getting more and more interest. Watermarking of remote sensing images faces to some specific requirements compared with general multimedia watermarking techniques, which relate to a very different range of researches and applications that those images are dedicated to. We propose a novel watermarking approach based on the feature of blocked discrete cosine transform to decrease the effect of watermarking on the application values of remotely sensed images. The algorithm is a blind one and watermark detection is possible both with the data in the JPEG compressed domain and in the spatial domain, thus increasing the flexibility and usability of the system. Experimental results show that the proposed watermarking system for remote sensing images is robust in the face of various image manipulations, including adding noise, cropping, filtering, and compression.
  • Keywords
    discrete cosine transforms; multimedia systems; remote sensing; watermarking; JPEG compressed domain; digital watermarking algorithm; discrete cosine transform; image manipulation; market potential; multimedia watermarking technique; product distribution; remote sensing data; remote sensing image; remote sensing imagery character; watermark detection; Discrete cosine transforms; Image coding; Noise; Remote sensing; Robustness; Transform coding; Watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science (MASS), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-5325-2
  • Electronic_ISBN
    978-1-4244-5326-9
  • Type

    conf

  • DOI
    10.1109/ICMSS.2010.5576603
  • Filename
    5576603