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Watermarking of still images in wavelet domain based on entropy masking model

Akhbari, B ; Sharif University of Technology | 2005

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  1. Type of Document: Article
  2. DOI: 10.1109/TENCON.2005.301060
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2005
  4. Abstract:
  5. A new robust image adaptive digital watermarking algorithm in wavelet transform domain is proposed in this paper. The proposed method exploits Human Visual System (HVS) characteristics and entropy masking concept to determine image adaptive thresholds for selection of perceptually significant coefficients. The mark is embedded in the coefficients of all subbands including the LL subband. Experimental results show that the proposed method significantly improves watermarking performance over conventional methods, in the terms of invisibility and robustness
  6. Keywords:
  7. Adaptive algorithms ; Feature extraction ; Image analysis ; Wavelet transforms ; Entropy masking ; Human Visual System (HVS) ; Wavelet transform domains ; Digital watermarking
  8. Source: TENCON 2005 - 2005 IEEE Region 10 Conference, Melbourne, 21 November 2005 through 24 November 2005 ; Volume 2007 , 2005 ; 21593442 (ISSN); 0780393112 (ISBN); 9780780393110 (ISBN)
  9. URL: https://ieeexplore.ieee.org/abstract/document/4085268