Wavelet Based Medical Image Watermarking Scheme for Patient Information Authenticity

Yıl 2016, Special Issue (2016), 220 - 223, 01.12.2016

Gökçen Çetinel , Lukman Çerkezi

https://doi.org/10.18100/ijamec.270334

Cited By: 2

Öz

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. 

Anahtar Kelimeler

Medical image watermarking, discrete wavelet transform, singular value decomposition

Kaynakça

• [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.