Graduation Year

2015

Document Type

Thesis

Degree

M.S.E.E

Degree Name

MS in Electrical Engineering (M.S.E.E.)

Department

Electrical Engineering

Degree Granting Department

Electrical Engineering

Major Professor

Ravi Sankar, Ph.D.

Committee Member

Wilfrido Moreno, Ph.D.

Committee Member

Nasir Ghani, Ph.D.

Keywords

Normalized Correlation, Shared Key, Spatial Domain, Structural Similarity, Wavelet Transform

Abstract

Digitization of medical data has become a very important part of the modern healthcare system. Data can be transmitted easily at any time to anywhere in the world using Internet to get the best diagnosis possible for a patient. This digitized medical data must be protected at all times to preserve the doctor-patient confidentiality. Watermarking can be used as an effective tool to achieve this.

In this research project, image watermarking is performed both in the spatial domain and the frequency domain to embed a shared image with medical image data and the patient data which would include the patient identification number.

For the proposed system, Structural Similarity (SSIM) is used as an index to measure the quality of the watermarking process instead of Peak Signal to Noise Ratio (PSNR) since SSIM takes into account the visual perception of the images compared to PSNR which uses the intensity levels to measure the quality of the watermarking process. The system response under ideal conditions as well as under the influence of noise were measured and the results were analyzed.

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