Earticle

초록

영어

Aiming at medical image information security problem, this paper proposes a new robust zero-watermarking algorithm for medical volume data based on three-dimensional discrete wavelet transform, three-dimensional Fourier transform and hermite chaotic neural network . Firstly, it employs a novel hermite chaotic neural network to generate the pseudo-random chaotic sequence for scrambling. Secondly, three dimensional medical image is transformed by three-dimensional discrete wavelet transform and three-dimensional discrete Fourier transform. Then, select the transformed low and intermediate frequency coefficients symbol as medical volume data characteristics to structure zero-watermarking. The algorithm integrates hermite chaotic neural network and zero-watermarking technology, which is not confined to artificially selected region of interest. The watermarking extraction does not need the original image. And its security depends on the chaotic sequence complexity and unpredictability, solving the watermark embedding, extraction safety and efficiency. The simulation results show that the algorithm is simple to implement, with good robustness, security and invisibility.

목차

Abstract
 1. Introduction
 2. Hermite Chaotic Neural Network
 3. Three-dimensional Discrete Wavelet Transform
 4. Three-dimensional Discrete Fourier Transform
 5. Feature Extraction
 6. Zero-watermarking algorithm
  6.1. Zero-watermarking system
  6.2. Embedding algorithm
  6.3. Extraction algorithm
 7. Simulations
  7.1 Robustness
  7.2 Security
 8. Conclusions
 Acknowledgements
 References

키워드

저자

• Baoru Han [ College of Information Science and Technology, Hainan University Haikou, 570228, Hainan, China ]
• Jingbing Li [ College of Information Science and Technology, Hainan University Haikou, 570228, Hainan, China ]
• Liang Zong [ College of Information Science and Technology, Hainan University Haikou, 570228, Hainan, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605