Artificial Intelligence Techniques for DWT Based Image Watermarking

Abstract

In this paper DWT and SVM based image digital watermarking has been presented. In proposed work firstly Fuzzy logic will be used for training based on membership functions and DWT. The DWT will be used for decomposition into HL, LL, LH, LL components. Then watermark embedding has been performed using SVM then extraction of hidden message will be done. The parameter evaluation has been measured using PSNR, MSE, BER and time consumption. The results of our scheme show realization and robust experiments and it has been observed that this method has preferable performance in MTLAB environment.

Authors and Affiliations

Manpreet Kaur , Kamalpreet Kaur

Keywords

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  • EP ID EP133665
  • DOI -
  • Views 102
  • Downloads 0

How To Cite

Manpreet Kaur, Kamalpreet Kaur (2016). Artificial Intelligence Techniques for DWT Based Image Watermarking. International Journal of Computer Science & Engineering Technology, 7(6), 261-266. https://europub.co.uk/articles/-A-133665