• DocumentCode
    2035604
  • Title

    Unseen Visible Watermarking

  • Author

    Chuang, Shang-Chih ; Huang, Chun-Hsiang ; WU, JA-LING

  • Author_Institution
    Nat. Taiwan Univ., Taipei
  • Volume
    3
  • fYear
    2007
  • fDate
    Sept. 16 2007-Oct. 19 2007
  • Abstract
    A novel data-hiding methodology, denoted as unseen visible watermarking (UVW), is proposed. The proposed scheme is inspired by real-world watermarks and possesses advantages of both visible and invisible watermarking schemes. After watermark embedding, the differences between the original work and the stego work are imperceptible under normal viewing conditions. However, when the hidden message is to be extracted, no explicit watermark extracting module is required. Semantically-meaningful watermark patterns can be directly recognized from the stego work as long as common imaging-related functions, e.g. gamma-correction or even simply changing the user-viewing angle relative to the LCD monitor, are performed. The proposed scheme outperforms existing invisible watermarking methods in its capability to practically convey metadata to users of legacy display devices lacking renewal capability. On the other hand, it does not suffer from the annoying quality-degradation problem of visible watermarking schemes. Limitations and possible extensions of the proposed schemes are also addressed. We believe that many interesting new applications can be facilitated using such unseen visible watermarking schemes.
  • Keywords
    feature extraction; image coding; watermarking; LCD monitor; data-hiding methodology; metadata; quality-degradation problem; unseen visible watermarking; watermark extracting module; Computer displays; Computer science; Computerized monitoring; Data mining; Eyes; Image recognition; Light sources; Liquid crystal displays; Pattern recognition; Watermarking; Image Enhancement; Metadata Delivery; Unseen Visible Watermarking; Watermarking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2007. ICIP 2007. IEEE International Conference on
  • Conference_Location
    San Antonio, TX
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-1437-6
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2007.4379296
  • Filename
    4379296