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 biomedical image is preprocessed using improved successive mean quantization transform (SMQT) which uses the Otsu’s threshold value. In the next phase, the image is segmented using Otsu and 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. Experimental results exhibit that the proposed digital watermarking scheme outperforms the typical models in terms of effectiveness and imperceptibility while maintaining robustness against different attacks by demonstrating a lower bit error rate (BER), a cross-correlation value closer to one, and higher values of structural similarity index measures (SSIM) and peak signal-to-noise ratio (PSNR).
Highlights
The ongoing advances in technology and computer networks have drawn a significant change in the biomedical sector
Many research works focused on digital watermarking of medical images, there is no single model that adheres to all the security and privacy requirements
Rathi et al proposed a model for an invisible watermarking technique in biomedical images using discrete wavelet transform (DWT), discrete cosine transform (DCT), and singular value decomposition (SVD) [5]
Summary
Shaekh Hasan Shoron 1 , Monamy Islam 1 , Jia Uddin 1 , Dongkoo Shon 2 , Kichang Im 3 , Jeong-Ho Park 4 , Dong-Sun Lim 4 , Byungtae Jang 4 and Jong-Myon Kim 2, *. Industry IT Convergence Research Group, SW Contents Research Laboratory, Intelligent Robotics Research. Electronics and Telecommunications Research Institute (ETRI), Daejeon 34129, Korea
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