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Journal Article
A Watermarking Technique for Biomedical Images Using SMQT, Otsu, and Fuzzy C-Means
- Authors
- Shaekh Hasan Shoron, Monamy Islam, Jia Uddin, Dongkoo Shon, Kichang Im, Jeong-Ho Park, Dong-Sun Lim, Byungtae Jang, Jong-Myon Kim
- Issue Date
- 2019-09
- Citation
- Electronics, v.8, no.9, pp.1-9
- ISSN
- 2079-9292
- Publisher
- MDPI
- Language
- English
- Type
- Journal Article
- 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).
- KSP Keywords
- Authentication technique, Bit Error Rate(And BER), Cross-Correlation, Discrete wavelet transform(DWT-EE), Embedding process, Otsu's threshold, Peak-Signal-to-Noise-Ratio(PSNR), Signal noise ratio(SNR), Structural SIMilarity index, Structure Similarity Index measure(SSIM), Threshold Value
This work is distributed under the term of Creative Commons License (CCL)
(CC BY)
(CC BY)
