4.7 Article

Blind robust image watermarking based on adaptive embedding strength and distribution of quantified coefficients

Journal

EXPERT SYSTEMS WITH APPLICATIONS
Volume 187, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2021.115906

Keywords

Robust watermarking; Discrete Cosine Transform; Copyright protection

Funding

  1. Kementerian Riset Teknologi Dan Pendidikan Tinggi Republik Indonesia under PKPI Grant [T/1567/D3.2/KD.02.00/2019]
  2. PDD research Kementerian Riset Teknologi Dan Pendidikan Tinggi Republik Indonesia [3/AMD/E1/KP.PTNBH/2020]

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The paper proposes a novel reversible robust watermarking scheme based on the JPEG image, which minimizes total distortion for the watermarked image by adaptively selecting embedding strengths and coefficients and using an advanced block selection strategy to correspond to the distortion. Experimental results show that the method can maintain good visual quality while being robust to geometrical and image processing attacks.
The image watermarking technique is a reliable method for protecting digital image rights. The most widely used digital imaging format is the JPEG (joint photographic expert's group). This paper proposes a novel reversible robust watermarking scheme based on the JPEG image. In JPEG image, quantified Discrete Cosine Transform (DCT) coefficients with varying frequency provide varied capacities and embedding deformities. To minimize total distortion for the watermarked image, we adaptively select embedding strengths and coefficients from effective frequency selection that produce less embedding distortions. Then, by weighting the difference between the quantified DCT coefficient and the DCT coefficient on the block, an advanced block selection strategy is used to the corresponding distortion, which are produced from the whole quantified alternating current (AC) shift capacity and half of the insertion capacity. The experimental results show that the proposed method can maintain good visual quality while requiring little bitstream expansion and is robust to geometrical and image processing attacks.

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