• DocumentCode
    3342509
  • Title

    A novel approach using transformation techniques and decision tree algorithm on images for performing Digital Watermarking

  • Author

    Patel, S.B. ; Mehta, T.B. ; Pradhan, S.N.

  • Author_Institution
    Comput. Sci. & Eng. Dept., Nirma Univ. of Sci. & Technol., Ahmedabad, India
  • fYear
    2009
  • fDate
    9-12 Nov. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Digital Watermarking is an emerging copyright protection technology. The paper presents a new robust watermarking technique based on combining the power of transform domain technique, the Discrete Cosine Transform (DCT) and the data mining technique such as Decision Tree Induction (ID3). The paper focuses on a technique through which the notion of decision tree can be applied on transformed vectors to build the decision tree. We train the image blocks for deriving the classification tree. The resulting decision tree provides decision making rules to identify good quality image blocks for insertion of watermark. The implementation results have shown that the algorithm has an acceptable robustness against the JPEG compression and addition of noise.
  • Keywords
    copy protection; data mining; decision making; decision trees; discrete cosine transforms; image classification; learning (artificial intelligence); watermarking; Discrete Cosine Transform; JPEG compression; classification tree; copyright protection technology; data mining technique; decision making rules; decision tree algorithm; decision tree induction; digital watermarking; image blocks; transformation techniques; Classification tree analysis; Copyright protection; Data mining; Decision making; Decision trees; Discrete cosine transforms; Discrete transforms; Noise robustness; Transform coding; Watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Technology and Secured Transactions, 2009. ICITST 2009. International Conference for
  • Conference_Location
    London
  • Print_ISBN
    978-1-4244-5647-5
  • Type

    conf

  • DOI
    10.1109/ICITST.2009.5402565
  • Filename
    5402565