• DocumentCode
    1440096
  • Title

    Joint Compression/Watermarking Scheme Using Majority-Parity Guidance and Halftoning-Based Block Truncation Coding

  • Author

    Guo, Jing-Ming ; Liu, Yun-Fu

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
  • Volume
    19
  • Issue
    8
  • fYear
    2010
  • Firstpage
    2056
  • Lastpage
    2069
  • Abstract
    In this paper, a watermarking scheme, called majority-parity-guided error-diffused block truncation coding (MPG-EDBTC), is proposed to achieve high image quality and embedding capacity. EDBTC exploits the error diffusion to effectively reduce blocking effect and false contour which inherently exhibit in traditional BTC. In addition, the coding efficiency is significantly improved by replacing high and low means evaluation with extreme values substitution. The proposed MPG-EDBTC embeds a watermark simultaneously during compression by evaluating the parity value in a predefined parity-check region (PCR). As documented in the experimental results, the proposed scheme can provide good robustness, image quality, and processing efficiency. Finally, the proposed MPG-EDBTC is extended to embed multiple watermarks and achieves excellent image quality, robustness, and capacity. Nowadays, most multimedia is compressed before it is stored. It is more appropriate to embed information such as watermarks during compression. The proposed method has been proved to solve effectively the inherent problems in traditional BTC, and provide excellent performance in watermark embedding.
  • Keywords
    block codes; data compression; image coding; watermarking; blocking effect reduction; false contour reduction; halftoning-based block truncation coding; high image quality; joint compression-watermarking scheme; majority-parity-guided error-diffused block truncation coding; multimedia compression; predefined parity-check region; Block truncation coding; digital halftoning; digital watermarking; error diffusion; Algorithms; Color; Data Compression; Image Enhancement; Image Interpretation, Computer-Assisted; Product Labeling; Security Measures;
  • fLanguage
    English
  • Journal_Title
    Image Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2010.2045709
  • Filename
    5430896