Image adaptive DCT- SVD based digital watermarking scheme by human visual characteristics

  • Justin Varghese College of Computer Science, King Khalid University, Abha, Saudi Arabia
  • Saudia Subash Centre for Information Technology & Engineering, Manonmaniam Sundaranar University, India.
  • Omer Bin Hussain College of Computer Science, King Khalid University, Abha, Saudi Arabia
  • Mohammed Ramadan Saady College of Science, South Valley University, Egypt.
  • Bijoy Babu King Khalid University, Abha, KSA
  • Mohammed Riazuddin King Khalid University, Abha, KSA
Keywords: Copyright protection, discrete wavelet transform (DWT), image watermarking, singular value decomposition (SVD)


The paper proposes an efficient watermarking scheme by incorporating singular valuedecomposition (SVD), discrete cosine transform (DCT) and homogeneity informationin the carrier image. The algorithm decomposes the carrier and watermark images intonon-overlapping blocks and analyzes the homogeneity of pixels in them to identify thepossible blocks of carrier image where the suitable watermark block can be attached sothat the watermarking process maintain better visual image fidelity in the watermarkedimage. The algorithm avoids the decomposed high frequency carrier image blockswhile attaching watermark blocks to reduce the visual distortion in the watermarkedimages. Experimental results show that the proposed algorithm produces good qualitywatermarked images and are less immune to potential attacks.

Author Biographies

Justin Varghese, College of Computer Science, King Khalid University, Abha, Saudi Arabia

Associate Professor,

Department of Computer Science

College of Computer Science, Abha

Saudia Subash, Centre for Information Technology & Engineering, Manonmaniam Sundaranar University, India.
Assistant Professor, Centre for Information Technology & Engineering


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Computer Engineering