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Background/Objectives: In recent times internet has become a primary means of communication between the medical center and the some remote doctor present at hospital. With the usage of internet, there comes the issue of data integrity and therefore the responsibility of the medical specialist to preserve sensitive data of patients contained within the medical images relevant with that exact patient. Methods and Analysis: Thus we have created an experiment to preserve the data integrity by using different watermarking techniques used for conventional images. For medical images quality conservation is imperative. We have used 2D Lifting Wavelet Transform (LWT) for watermarking. Findings: As lifting wavelets has the advantage of less computing time and the less memory requirements. Application/Improvement: Here lifting scheme of wavelet transform (LWT) is used for watermarking different types of medical images along with Artificial Neural Network for better security.

Keywords

Artificial Neural Networks, Medical Image Watermarking, Lifting Wavelet Transform (LWT).
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