• DocumentCode
    3118332
  • Title

    Logo embedding in grayscale images using turbo product codes

  • Author

    Al Maeeni, Sara ; Kalbat, Fatma ; Al-Ahmad, Hussain

  • Author_Institution
    Electr. & Comput. Eng. Dept., Khalifa Univ. of Sci., Sharjah, United Arab Emirates
  • fYear
    2015
  • fDate
    17-19 May 2015
  • Firstpage
    96
  • Lastpage
    99
  • Abstract
    In this paper, we investigate the robustness achieved by hard-input hard-output (HIHO) turbo product code (TPC) in a grayscale image watermarking. The TPC scheme is based on the concatenation of a BCH product code. The general concept of the TPC is to construct two or more simple codes in order to achieve remarkable error performance. Unlike many proposed algorithms in the literature, HIHO-TPC require a manageable complexity encoding and decoding algorithms. Firstly, the data in the logotype (logo) is encoded using TPC and then inserted in the image. Different grayscale images are investigated and evaluated in terms of robustness to different photometric attacks by using Stirmark software package. Experimental results show that the proposed blind watermarking algorithm has a strong ability of extracting the embedded logo in different attacks such as JPEG compression, cropping, and 3×3 median filtering.
  • Keywords
    BCH codes; decoding; image coding; image colour analysis; image watermarking; product codes; turbo codes; BCH product code concatenation; HIHO TPC; JPEG compression; Stirmark software package; blind watermarking algorithm; complexity encoding; cropping; decoding algorithms; error performance; grayscale image watermarking; hard-input hard-output turbo product code; logo embedding; logotype; median filtering; photometric attacks; turbo product codes; Decoding; Discrete cosine transforms; Gray-scale; Image coding; Robustness; Software algorithms; Watermarking; BCH; Digital Watermark; Error Correction Code; TPC; grayscale;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technology Research (ICTRC), 2015 International Conference on
  • Conference_Location
    Abu Dhabi
  • Type

    conf

  • DOI
    10.1109/ICTRC.2015.7156430
  • Filename
    7156430