An adaptive blind watermarking algorithm based on DCT and its application in multimedia data processing

ABSTRACT

In this paper, an adaptive blind watermarking algorithm based on compressed DCT and Watson's Visual Mode is proposed for multimedia data processing. A normalized masking, deduced from Watson's model according to the principle of maximum possible quantization error, is used to simplify the computation for watermark insertion. Hidden information is adaptively embedded based on the deduced masking and relationship of four-adjacent-blocks. Arnold transformation is used to encrypt the watermark signal with a secret key and the watermark is extracted without the original image. Experimental results indicate that the proposed strategy is resistant to Gaussian noise, mean filter, JPEG compression, etc.

References

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Index Terms

• Information systems

  • Information systems applications

    • Multimedia information systems

• Security and privacy

  • Security services

    • Digital rights management