Medical Image Authentication by SWT and SVD
Madhu B1, Ganga Holi2
1Madhu B, Department of CSE, Dr. Ambedkar Institute of Technology, Bangalore, Karnataka , India.
2Ganga Holi, Department of Information Science & Engineering, Global Academy of Technology, Bangalore, Karnataka ,India.
Manuscript received on 5 August 2019. | Revised Manuscript received on 11 August 2019. | Manuscript published on 30 September 2019. | PP: 953-958 | Volume-8 Issue-3 September 2019 | Retrieval Number: C4111098319/19©BEIESP | DOI: 10.35940/ijrte.C4111.098319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The proposed paper work is implemented using Stationary Wavelet Transformation (SWT) with Singular Value Decomposition (SVD).Even though, there are many other transformations, the Stationary Wavelet Transformation method is chosen for its shift invariance property. The designed method has three steps; the first step is the decomposing of the Medical image into sub-bands using SWT to find the value of sub band and as a second step is to apply SVD, third step will combine both the images with scaling factor. The experiments were conducted over gray scale of MRI and CT Medical images. The statistics of proposed method indicates that imperceptibility of Watermarked Medical images have a Peak Signal to Noise Ratio (PSNR) value of 50 DB for medical images. The robustness is ensured by having Correlation Coefficient (CC) of 1 for the retrieved watermark images. Security for the watermark is extended by encrypting the watermark with chaotic sequence.
Keywords: Medical image Authentication, Singular Value Decomposition, Stationary Wavelet Transformation, Scaling Factor.
Scope of the Article: Authentication, Authorization, Accounting