Wavelet Based Medical Image Watermarking Scheme for Patient Information Authenticity
Telemedicine is an important technique that permits transmission of medical and imaging data from one place to other, ensures the reliability of data and provides a convenient communications between patient and medical staff. In this study, Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) based medical image watermarking method that hides the patient information into medical image without affecting the image quality is proposed for the purpose of authentication. At the watermark (secret image containing patient information) embedding process, a chaotic map called as Arnold Cat Map (ACM) is applied to the watermark to improve the security of the method. So that the aim of the proposed watermarking scheme is personal authentication by ensuring the perceptual invisibility, PSNR (Peak Signal-to-Noise Ratio) values are calculated during the simulations. According to the experimental results, we can say that the proposed method provides higher PSNR values than compared current methods. Furthermore, in simulations DWT and SVD based watermarking scheme is implemented as chaotic and non-chaotic watermarking scheme to investigate the effect of chaotic map on the performance of the proposed algorithm.
___
- [1] Eswaraiah, R., Reddy, E.S.,”Robust Medical Image Watermarking Technique for Accurate Detection of Tampers Inside Region of Interest and Recovering Origina Region of Interest”, IET Image Processing, Vol. 9, Number 8, 2015, pp.615-625.
- [2] Moniruzzaman, Hawladar, Hossain, Md., “Wavelet Based Watermarking Approach for Hiding Patient Information in medical Image for Medical Image Authentication”, 17th International Conference on Computer and Information Technology (ICCIT), 22-23 December, 2014.
- [3] Paulopoulas, G. S., Kaoutsouris, D., “Multiple Image Watermarking Scheme Applied to Medical Image Management”, IEEE Trans. on Information Technology in Biomedicine, Vol. 10, Number 4, pp. 3241-3244, 2006.
- [4] Dong, P., “Robust Digital Image Watermarking”, PhD thesis, Electrical Engineering in the Graduate College of the Illinois Institute of Technology, May 2004.
- [5] O. Jane, H.K. Ilk, E. Elbasi, “A Secure and Robust Watermarking Algorithm Based on the Combination of DWT, SVD and LU Decomposition with Arnold’s Cat Map Approach”, 8th International Conference on Electrical and Electronics Engineering (ELECO), 28-30 November, 2013.
- [6] S. Haykin, “Adaptive Filter Theory”, Prentice Hall, New Jersey, 4.th edt., 2002.
- [7] Q. Li, C. Yuan, Y. Zhong, “Adaptive DWT-SVD Domain Image Watermarking Using Human Visual Model”, The 9th International on Advanced Communication Technology, 12-14 February, 2007.
- [8] K. Pal, G. Ghosh, M. Bhattacharya, “Retrieval of hidden infected region using biomedical image watermarking for tele-diagnosis to ensure better treatment”, 5th International Conference on Computers and Devices for Communication (CODEC), 17-19 December, 2012.
- [9] K. Pal, G. Ghosh, M. Bhattacharya, “Biomedical Image Watermarking for Content Protection Using Multiple Copies of Information and Bit Majority Algorithm in Wavelet Domain”, IEEE Student’s Conference on Electrical, Electronics and Computer Science (SCEECS), 1-2 March, 2012.
- [10] X. Xi’an, W. Yongsheng, “Study on Algorithm of Masking Digital Watermarking in Wavelet Transform Domain Based on Chaos Encryption and Arnold Transform”, International Conference on Audio Language and Image Processing (ICALIP), 23-25 November, 2010.
- ISSN: 2147-8228
- Yayın Aralığı: Yılda 4 Sayı
- Başlangıç: 2013
- Yayıncı: Selçuk Üniversitesi