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Image Watermarking Scheme Based on DWT-DCT and SSVD

초록

영어

With the fast development of network, it becomes urgent to protect copyright and rightful ownership of an image, and digital watermark technology is a comprising solution to do that. However, the false positive problem exists in a number of watermarking schemes based on singular value decomposition (SVD). This paper offers a novel image watermark scheme to avoid the false positive problem, which combines with discrete cosine transform (DCT),discrete wavelet transform (DWT), and shuffled singular value decomposition (SSVD). In order to address the problem, the principal components obtained by SSVD are embedded into a constructed matrix composed of the direct current (DC) component which is extracted from the non-overlapping image block acqured by dividing the low frequency. The low frequency is obtained by applying DWT to the host image. Otherwise, the experiments concerning the imperceptibility and robustness are conducted in this paper. Compared with other reliable watermark methods, the obtained experimental results demonstrate that the proposed method has excellent imperceptibility and behaves satisfactory robustness in resisting the attacks such as Salt and Pepper noise, Gaussian noise, and image cropping, etc.

목차

Abstract
 1. Introduction
 2. Preliminaries
  2.1. Singular Value Decomposition
  2.2. SVD-based Watermarking Method
  2.3. Weakness of SVD-based Watermarking Method
  2.4. Shuffled Singular Value Decomposition
  2.5. Evaluation Criterion
 3. Proposed Watermarking Scheme
  3.1. Watermark Embedding
  3.2. Watermark Extraction
 4. Experimental Results and Performance Analysis
  4.1. Imperceptibility and Robustness Test
  4.2. False Positive Test
  4.3. Comparison with Other Reliable Watermark Schemes
 5. Conclusions
 References

저자정보

  • Zhi Zhang School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, China
  • Chengyou Wang School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, China
  • Xiao Zhou School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, China

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