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An Application of Non-Dominated Sorting Genetic Algorithm for Reversible Data Hiding Based on Histogram Shifting in Neuroimages

Year 2022, , 233 - 247, 31.12.2022
https://doi.org/10.38088/jise.1135756

Abstract

This paper presents an application of a multi-objective non-dominated sorting genetic algorithm with a modified chromosome encoding for histogram shifting-based multiple reversible data hiding scheme in neuroimages which aims to minimize distortion and maximize capacity. The modified chromosomes encoding scheme is designed according to the zero-bin characteristic of the intensity histogram of the structural magnetic resonance imaging scans of the human brain. A detailed experimental study has been carried out for assessing the effect of non-dominated sorting for multi-objective optimization compared to Euclidian distance, the convenience of modified chromosome encoding scheme for medical images compared to non-medical images. The performance of the proposed method has been measured in terms of the peak signal-to-noise ratio (PSNR) for image quality and the bits per pixel (bpp) for capacity assessments. The experimental results show that the proposed method is better than its counterparts

References

  • [1] Zhicheng, N., Yun-qing, S., Ansari N, Su W. (2006) Reversible data hiding. IEEE Transactions On Circuits And Systems For Video Technology 16:354-362.
  • [2] Kiel, J. (2012). HIPAA and its effect on informatics. Comput Inform Nurs 30:1-5.
  • [3] Kurnaz, H., Konyar, M. Z., Sondaş, A. (2020). A new hybrid data hiding method based on near histograms, Eur J Sci Technol, 18:683-694.
  • [4] Vazhoramalayil, M., Vedhanayagam, M. (2021). A novel image scaling based reversible watermarking scheme for secure medical image transmission. Isa Transactions, 108:269-281.
  • [5] Wei-liang, T., Chia-ming, Y., Chin-chen, C. (2009). Reversible data hiding based on histogram modification of pixel differences. Ieee Transactions On Circuits And Systems For Video Technology, 19:906-910.
  • [6] Hwang, H., Kim, H., Vasiliy, S., Joo, S. (2010). Reversible watermarking method using optimal histogram pair shifting based on prediction and sorting. Journal of Transactions On Internet and Information Systems, 4:655-670.
  • [7] Kuo, W., Li, J., Wang, C., Wuu, L., Huang, Y. (2016). An improvement data hiding scheme based on formula fully exploiting modification directions and pixel value differencing method. IEEE Computer Society.
  • [8] Tian, J. (2003). Reversible data embedding using a difference expansion. IEEE Transactions On Circuits And Systems For Video Technology, 13:890-896.
  • [9] Malhotra, R., Singh, N., Singh, Y. (2011). Genetic algorithms: Concepts, design for optimization of process controllers. Comput Inf Sci, 4:39-5.
  • [10] Strossmayer, J. (2001). A Comparison of Several Heuristic Algorithms for Solving High Dimensional Optimization Problems 1.
  • [11] Wang, J., Ni, J., Zhang, X., Shi, Y. (2017). Rate and distortion optimization for reversible data hiding using multiple histogram shifting. Ieee Transactions On Cybernetics, 47:315-326.
  • [12] Wang, J., Ni, J. (10.1109/WIFS.2013.6707819). A GA optimization approach to HS based multiple reversible data hiding.
  • [13] Wang, J., Chen, X., Shi, Y. (2019). Unconstraint optimal selection of side information for histogram shifting based reversible data hiding. Ieee Access 35564-35578.
  • [14] Kuo-liang, C., Yong-huai, H., Wei-ning, Y., Yu-chiao, H., Chyou-hwa, C. (2009). Capacity maximization for reversible data hiding based on dynamic programming approach. Applied Mathematics And Computation, 208:284-292.
  • [15] Qi, W., Li, X., Zhang, T., Guo, Z. Optimal Reversible Data Hiding Scheme Based on Multiple Histograms Modification. Ieee Transactions On Circuits And Systems For Video Technology, 2300-2312.
  • [16] Wansapura, J., S., Dunn, R., Ball, W. (1999). NMR relaxation times in the human brain at 3.0 tesla. Journal Of Magnetic Resonance Imaging
  • [17] Hazlewood, C., Yamanashi, W., Rangel, R., Todd, L. (1982). In vivo NMR imaging and T1 measurements of water protons in the human brain. Magnetic Resonance Imaging, 1:3-10.
  • [18] Cormen, T.,H. (2009). Introduction to algorithms. MIT press, 658- 662.
Year 2022, , 233 - 247, 31.12.2022
https://doi.org/10.38088/jise.1135756

Abstract

References

  • [1] Zhicheng, N., Yun-qing, S., Ansari N, Su W. (2006) Reversible data hiding. IEEE Transactions On Circuits And Systems For Video Technology 16:354-362.
  • [2] Kiel, J. (2012). HIPAA and its effect on informatics. Comput Inform Nurs 30:1-5.
  • [3] Kurnaz, H., Konyar, M. Z., Sondaş, A. (2020). A new hybrid data hiding method based on near histograms, Eur J Sci Technol, 18:683-694.
  • [4] Vazhoramalayil, M., Vedhanayagam, M. (2021). A novel image scaling based reversible watermarking scheme for secure medical image transmission. Isa Transactions, 108:269-281.
  • [5] Wei-liang, T., Chia-ming, Y., Chin-chen, C. (2009). Reversible data hiding based on histogram modification of pixel differences. Ieee Transactions On Circuits And Systems For Video Technology, 19:906-910.
  • [6] Hwang, H., Kim, H., Vasiliy, S., Joo, S. (2010). Reversible watermarking method using optimal histogram pair shifting based on prediction and sorting. Journal of Transactions On Internet and Information Systems, 4:655-670.
  • [7] Kuo, W., Li, J., Wang, C., Wuu, L., Huang, Y. (2016). An improvement data hiding scheme based on formula fully exploiting modification directions and pixel value differencing method. IEEE Computer Society.
  • [8] Tian, J. (2003). Reversible data embedding using a difference expansion. IEEE Transactions On Circuits And Systems For Video Technology, 13:890-896.
  • [9] Malhotra, R., Singh, N., Singh, Y. (2011). Genetic algorithms: Concepts, design for optimization of process controllers. Comput Inf Sci, 4:39-5.
  • [10] Strossmayer, J. (2001). A Comparison of Several Heuristic Algorithms for Solving High Dimensional Optimization Problems 1.
  • [11] Wang, J., Ni, J., Zhang, X., Shi, Y. (2017). Rate and distortion optimization for reversible data hiding using multiple histogram shifting. Ieee Transactions On Cybernetics, 47:315-326.
  • [12] Wang, J., Ni, J. (10.1109/WIFS.2013.6707819). A GA optimization approach to HS based multiple reversible data hiding.
  • [13] Wang, J., Chen, X., Shi, Y. (2019). Unconstraint optimal selection of side information for histogram shifting based reversible data hiding. Ieee Access 35564-35578.
  • [14] Kuo-liang, C., Yong-huai, H., Wei-ning, Y., Yu-chiao, H., Chyou-hwa, C. (2009). Capacity maximization for reversible data hiding based on dynamic programming approach. Applied Mathematics And Computation, 208:284-292.
  • [15] Qi, W., Li, X., Zhang, T., Guo, Z. Optimal Reversible Data Hiding Scheme Based on Multiple Histograms Modification. Ieee Transactions On Circuits And Systems For Video Technology, 2300-2312.
  • [16] Wansapura, J., S., Dunn, R., Ball, W. (1999). NMR relaxation times in the human brain at 3.0 tesla. Journal Of Magnetic Resonance Imaging
  • [17] Hazlewood, C., Yamanashi, W., Rangel, R., Todd, L. (1982). In vivo NMR imaging and T1 measurements of water protons in the human brain. Magnetic Resonance Imaging, 1:3-10.
  • [18] Cormen, T.,H. (2009). Introduction to algorithms. MIT press, 658- 662.
There are 18 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

Füsun Er 0000-0002-6339-8736

Yıldıray Yalman 0000-0002-2313-4525

Publication Date December 31, 2022
Published in Issue Year 2022

Cite

APA Er, F., & Yalman, Y. (2022). An Application of Non-Dominated Sorting Genetic Algorithm for Reversible Data Hiding Based on Histogram Shifting in Neuroimages. Journal of Innovative Science and Engineering, 6(2), 233-247. https://doi.org/10.38088/jise.1135756
AMA Er F, Yalman Y. An Application of Non-Dominated Sorting Genetic Algorithm for Reversible Data Hiding Based on Histogram Shifting in Neuroimages. JISE. December 2022;6(2):233-247. doi:10.38088/jise.1135756
Chicago Er, Füsun, and Yıldıray Yalman. “An Application of Non-Dominated Sorting Genetic Algorithm for Reversible Data Hiding Based on Histogram Shifting in Neuroimages”. Journal of Innovative Science and Engineering 6, no. 2 (December 2022): 233-47. https://doi.org/10.38088/jise.1135756.
EndNote Er F, Yalman Y (December 1, 2022) An Application of Non-Dominated Sorting Genetic Algorithm for Reversible Data Hiding Based on Histogram Shifting in Neuroimages. Journal of Innovative Science and Engineering 6 2 233–247.
IEEE F. Er and Y. Yalman, “An Application of Non-Dominated Sorting Genetic Algorithm for Reversible Data Hiding Based on Histogram Shifting in Neuroimages”, JISE, vol. 6, no. 2, pp. 233–247, 2022, doi: 10.38088/jise.1135756.
ISNAD Er, Füsun - Yalman, Yıldıray. “An Application of Non-Dominated Sorting Genetic Algorithm for Reversible Data Hiding Based on Histogram Shifting in Neuroimages”. Journal of Innovative Science and Engineering 6/2 (December 2022), 233-247. https://doi.org/10.38088/jise.1135756.
JAMA Er F, Yalman Y. An Application of Non-Dominated Sorting Genetic Algorithm for Reversible Data Hiding Based on Histogram Shifting in Neuroimages. JISE. 2022;6:233–247.
MLA Er, Füsun and Yıldıray Yalman. “An Application of Non-Dominated Sorting Genetic Algorithm for Reversible Data Hiding Based on Histogram Shifting in Neuroimages”. Journal of Innovative Science and Engineering, vol. 6, no. 2, 2022, pp. 233-47, doi:10.38088/jise.1135756.
Vancouver Er F, Yalman Y. An Application of Non-Dominated Sorting Genetic Algorithm for Reversible Data Hiding Based on Histogram Shifting in Neuroimages. JISE. 2022;6(2):233-47.


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