A Watermarking Technique for Biomedical Images using SMQT, OTSU And Fuzzy C-Means

Abstract

 Digital watermarking is a process of giving security from unauthorized use. To protect the data from any kind of misuse while transferring, digital watermarking is the most popular authentication technique. This paper proposes a novel digital watermarking scheme for biomedical images. In the model, initially, the image is segmented using Fuzzy c-means. Afterwards, the watermark is embedded in the image using discrete wavelet transform (DWT) and inverse DWT (IDWT). Finally, the watermark is extracted from the biomedical image by executing the inverse operation of the embedding process. The main focus of this thesis is to provide good tradeoff between perceptual quality of the watermarked image and its robustness against different attacks. For this purpose, we have discussed two robust digital watermarking techniques in discrete wavelet (DWT) domain. One is fusion based watermarking, and other is spread spectrum based watermarking. Simulation results of various attacks are also presented to demonstrate the robustness of both the algorithms while maintaining robustness against different attacks by demonstrating a lower bit error rate (BER), and peak signal-to-noise ratio (PSNR).