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
Link To Document :
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