Damageless digital watermarking by machine learning: A method of key generation for information extraction using artificial neural networks

Kensuke Naoe, Hideyasu Sasaki, Yoshiyasu Takefuji

研究成果: Conference contribution

抄録

Soft computing in the area of information security is a promising field for the creation of intelligent solutions. This paper discusses a method for digital watermarking using artificial neural networks to realize secure copyright protection of visual information without any damage. The discussed watermark extraction keys and feature extraction keys identify the secure and unique hidden patterns for proper digital watermarks. In the experiments, we have shown that the proposed method is robust to high pass filtering and JPEG compression of visual information, only for those watermark extraction keys which were able to identify the proper hidden bit patterns from original visual information using corresponding feature extraction keys. The proposed method is to contribute to secure visual digital watermarking without damaging or losing any detailed data of visual information.

本文言語English
ホスト出版物のタイトルSoCPaR 2009 - Soft Computing and Pattern Recognition
ページ545-550
ページ数6
DOI
出版ステータスPublished - 2009 12 1
イベントInternational Conference on Soft Computing and Pattern Recognition, SoCPaR 2009 - Malacca, Malaysia
継続期間: 2009 12 42009 12 7

出版物シリーズ

名前SoCPaR 2009 - Soft Computing and Pattern Recognition

Other

OtherInternational Conference on Soft Computing and Pattern Recognition, SoCPaR 2009
国/地域Malaysia
CityMalacca
Period09/12/409/12/7

ASJC Scopus subject areas

  • 計算理論と計算数学
  • コンピュータ ビジョンおよびパターン認識
  • ソフトウェア

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