location:Home > 2020 Vol.3 Apr. No.2 > Digital watermarking optimization algorithm of 3D CT mechanical image based on Virtual Reality Technology

2020 Vol.3 Apr. No.2

  • Title: Digital watermarking optimization algorithm of 3D CT mechanical image based on Virtual Reality Technology
  • Name: Haifeng Yang
  • Company: College of Mechanical and Electrical Engineering, China Universi
  • Abstract:

    Aiming at the shortcomings of current algorithms due to the fixed steps, which is easy to fall into local optimum, with robustness and poor transparency, and cannot be balanced against various common attacks, an optimization algorithm of digital image watermarking algorithm based on Drosophila was proposed. In the support of the virtual reality technology, the original color host image was transformed from the RGB space to YCrCb space, and the pixel block of the Y component was divided into a certain size; according to the principle of forming DC coefficients in the DCT domain, the DC coefficient of each block is calculated directly in the airspace, and the amount of modification for each DC coefficient is determined based on the watermark information and the quantization step size; according to the distribution characteristics of DC coefficient, watermarks are embedded directly in the airspace; the type of digital watermarking and digital watermarking pretreatment methods were determined by using Drosophila optimization algorithm. At the same time, digital watermark embedding, extraction rules and initial steps were selected and identified. The Drosophila optimization algorithm with step size reduces the balance between global and local search ability, which makes up for the shortcomings of traditional algorithm. The experimental results showed that the proposed algorithm can effectively balance the invisibility and robustness of the watermark, and can resist all kinds of common attacks, which with a better visual extraction effect.

  • Keyword: Virtual reality technology; Image; Digital watermarking; Optimization;
  • DOI: 10.12250/jpciams2020020223
  • Citation form: Haifeng Yang.Digital watermarking optimization algorithm of 3D CT mechanical image based on Virtual Reality Technology[J]. Computer Informatization and Mechanical System, 2020, vol. 3, pp. 43-52.
Reference:

[1] S. Liu,Z. Pan and H. Song, Digital image watermarking method based on DCT and fractal encoding,Iet Image Processing, 10(2017), 815-821.
[2] A. M. Abbas, Block-based SVD image watermarking in spatial and transform domains,International Journal of Electronics, 7(2015), 1091-1113.
[3] M. Andalibi and D. M. Chandler, Digital Image Watermarking via Adaptive Logo Texturization,IEEE Transactions on Image Processing, 12 (2015),5060-5073.
[4] R. R. A. Lubis, Analisis Kombinasi Algoritma Watermarking Modified Least Significant Bit Dengan Least Significant Bit +1,Critical Care, Suppl 1 (2015),1-1.
[5] T. Ma, D. P. Gao and N. T. Chen, Optimization and Simulation of Anti-Attack Method for Composite Color Digital Watermark Image, Computer Simulation, 6 (2016), 418-422.
[6] D. Xiao, H. K. Cai and H. Y. Zheng, A joint image encryption and watermarking algorithm based on compressive sensing and chaotic map, Chinese Physics B, 6(2015), 198-206.
[7] Z. Qu, Z. Cheng, M. Luo, et al, A Robust Quantum Watermark Algorithm Based on Quantum Log-polar Images,International Journal of Theoretical Physics, 11(2017), 3460-3476.
[8] L. Narkedamilly, V. P. Evani and S. K. Samayamantula, Discrete Multiwavelet–Based Video Watermarking Scheme Using SURF,Etri Journal, 3(2015), 595-605.
[9] A. Alhaj, A. Mohammad and A. Amer, Crypto-Watermarking of Transmitted Medical Images,Journal of Digital Imaging, 1(2017), 26-38.
[10] J. Cai, Research on Digital Watermarking Algorithm Based on Compressed Sensing, Bulletin of Science and Technology, 11 (2016), 137-141.
[11] Y. Guo, B. Z. Li and N. Goel, Optimised blind image watermarking method based on firefly algorithm in DWT-QR transform domain,Iet Image Processing, ,6(2017), 406-415.
[12] D. C. Wang, C. C. Tian, B. J. Chen, et al, Dual watermarking for color images based on 4D quaternion frequency domain, Journal of Jilin University(Engineering and Technology Edition), 4 (2015), 1336-1346.
[13] A. M. Abdelhakim, H. I. Salehand, A. M. Nassar, Quality metric-based fitness function for robust watermarking optimisation with Bees algorithm,Iet Image Processing, 3(2016), 247-252.
[14] Y. Wang, J. Liu, Y. Yang, et al, 3D model watermarking algorithm robust to geometric attacks,. Iet Image Processing, 10(2017), 822-832.
[15] H. D. Wan, Y. F. Lu and T. Sun, An Image Quality Assessment Method Using Human Visual Characteristics, Journal of China Academy of Electronics and Information Technology, 6 (2015) 567-573.

 

Tsuruta Institute of Medical Information Technology
Address:[502,5-47-6], Tsuyama, Tsukuba, Saitama, Japan TEL:008148-28809 fax:008148-28808 Japan,Email:jpciams@hotmail.com,2019-09-16