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Encryption Based Watermarking Technique For Security Of Medical Image


Affiliations
1 University of Science and Technology of Oran (USTO), Algeria
 

This paper proposes an encryption-based image watermarking scheme for medical images using a customized quantization of wavelet coefficient and a crypto system based on the chaotic cipher of Singular Value Decomposition (SVD). In order to spread the robustness of our algorithm and provide extra security, an improved SVD-CHAOS embedding and extraction procedure has been used to scramble the watermark logo in the preprocessing step of the proposed method. In the process of watermark embedding, an R-level discrete wavelet transform was applied to the host image. The high frequency wavelet coefficients are selected to carry these scrambled-watermarks by using adaptive quantization low bit modulation (LBM). The proposed image watermarking method endures entirety attacks and rightly extracts the hidden watermark without significant degradation in the image quality, Thus, when the Peak Signal to Noise Ratio (PSNR) and Normalized Correlation (NC) performance of the proposed algorithm is compared with other related techniques.

Keywords

Watermarking, medical image, discrete wavelet transform, singular value decomposition, quantization, chaos cryptosystem.
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  • Encryption Based Watermarking Technique For Security Of Medical Image

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Authors

Abderrahmane Daham
University of Science and Technology of Oran (USTO), Algeria
Mohamed ouslim
University of Science and Technology of Oran (USTO), Algeria

Abstract


This paper proposes an encryption-based image watermarking scheme for medical images using a customized quantization of wavelet coefficient and a crypto system based on the chaotic cipher of Singular Value Decomposition (SVD). In order to spread the robustness of our algorithm and provide extra security, an improved SVD-CHAOS embedding and extraction procedure has been used to scramble the watermark logo in the preprocessing step of the proposed method. In the process of watermark embedding, an R-level discrete wavelet transform was applied to the host image. The high frequency wavelet coefficients are selected to carry these scrambled-watermarks by using adaptive quantization low bit modulation (LBM). The proposed image watermarking method endures entirety attacks and rightly extracts the hidden watermark without significant degradation in the image quality, Thus, when the Peak Signal to Noise Ratio (PSNR) and Normalized Correlation (NC) performance of the proposed algorithm is compared with other related techniques.

Keywords


Watermarking, medical image, discrete wavelet transform, singular value decomposition, quantization, chaos cryptosystem.

References