• DocumentCode
    3562484
  • Title

    A DWT-based image watermarking approach using quantization on filtered blocks

  • Author

    Thien Huynh-The ; Sungyoung Lee ; Hieu Pham-Chi ; Thuong Le-Tien

  • Author_Institution
    Dept. of Comput. Eng., Kyung Hee Univ., Yongin, South Korea
  • fYear
    2014
  • Firstpage
    280
  • Lastpage
    285
  • Abstract
    In this paper, the authors propose a digital watermarking scheme for gray-scale images, in which, coefficients of a host image are quantized in the wavelet domain. In particular, the binary watermark image is embedded into the wavelet-blocks that can be obtained by grouping four coefficients at different sub-bands at corresponding coordinates. The modification of only two coefficients at the LH4 and HL4 sub-bands is decided by the value of watermark bit and the significant difference of them. In order to improve the performance, these blocks are filtered by sorting in the difference as the reparation before applying an embedding algorithm. The improvement reduces the degradation in the output image. The method is evaluated for many samples under various types of attack including the geometric and non-geometric attacks. Moreover, the comparison of the proposed method and recent others is also represented at the same payload.
  • Keywords
    discrete wavelet transforms; image filtering; image watermarking; quantisation (signal); DWT-based image watermarking; HL4 sub-bands; LH4 sub-bands; binary watermark image; digital watermarking scheme; embedding algorithm; filtered blocks; gray-scale images; host image; nongeometric attacks; quantization; wavelet domain; wavelet-blocks; Discrete wavelet transforms; Equations; PSNR; Quantization (signal); Robustness; Watermarking; Blind Watermarking; Coefficient Quantization; Filtered Blocks; Otsu Method; Wavelet-Block; Within-Class Variance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Technologies for Communications (ATC), 2014 International Conference on
  • Print_ISBN
    978-1-4799-6955-5
  • Type

    conf

  • DOI
    10.1109/ATC.2014.7043398
  • Filename
    7043398