Proceedings ArticleDOI
Wavelet based imperceptible medical image watermarking using spread-spectrum
Basant Kumar,Shishu Bind Kumar,Digvijay Singh Chauhan +2 more
- pp 1-5
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TLDR
A spread-spectrum watermarking algorithm for embedding text watermark in to digital images in discrete wavelet transform (DWT) domain and it is observed that the use of BCH code improves the performance by reducing bit error rate (BER) performance.Abstract:
This paper presents a spread-spectrum watermarking algorithm for embedding text watermark in to digital images in discrete wavelet transform (DWT) domain. The algorithm is applied for embedding text file represented in binary arrays using ASCII code into host digital radiological image for potential telemedicine applications. In order to enhance the robustness of text watermarks like patient identity code, BCH (Bose, Ray-Chaudhuri, Hocquenghem) error correcting code (ECC) is applied to the ASCII representation of the text watermark before embedding. Performance of the algorithm is analysed by varying the gain factor, subband decomposition levels, and length of watermark. Robustness of the scheme is tested against various attacks like compression, filtering, noise, sharpening, scaling and histogram equalization. Simulation results show that the proposed method achieves imperceptible watermarking for string watermarks. It is also observed that the use of BCH code improves the performance by reducing bit error rate (BER) performance.read more
Citations
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Journal ArticleDOI
Robust and Imperceptible Dual Watermarking for Telemedicine Applications
TL;DR: The experimental results demonstrate that this algorithm provides better robustness without affecting the quality of watermarked image, and combines the advantages and removes the disadvantages of the two transform techniques.
Journal ArticleDOI
Robust and Secure Multiple Watermarking for Medical Images
TL;DR: The hybrid method is suitable for avoidance of the patient identity theft/alteration/modification and secure medical document dissemination over the open channel for medical applications and is robust for hidden watermark at acceptable quality of the watermarked image.
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An evolutionary programming approach for securing medical images using watermarking scheme in invariant discrete wavelet transformation
TL;DR: This paper proposed the image watermarking algorithm in wavelet transformation (IDWT) using the singular value decomposition (SVD) and particle swarm optimization (PSO) and showed improved performance in terms of imperceptibility and robustness.
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Quantization based multiple medical information watermarking for secure e-health
TL;DR: The experimental results validate the effectiveness of the proposed framework in terms of BER and embedding capacity compared to other state-of-the-art methods and find potential application in prevention of patient identity theft in e-health applications.
Journal ArticleDOI
Multilevel Encrypted Text Watermarking on Medical Images Using Spread-Spectrum in DWT Domain
TL;DR: A secure multilevel watermarking scheme in which the encrypted text acts as a watermark based on secure spread-spectrum technique for digital images in discrete wavelet transform (DWT) domain is presented.
References
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Proceedings ArticleDOI
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TL;DR: It is concluded that watermarking has found a niche role in healthcare systems, as an instrument for protection of medical information, for secure sharing and handling of medical images.
Journal ArticleDOI
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Proceedings ArticleDOI
A medical image watermarking scheme based on wavelet transform
TL;DR: The experimental results demonstrate the efficiency of the watermarking scheme, which fulfills the strict requirements concerning the acceptable alterations of medical images.
Journal ArticleDOI
Secure and efficient health data management through multiple watermarking on medical images
TL;DR: A wavelet-based multiple watermarking scheme is proposed that aims to address critical health information management issues, including origin and data authentication, protection of sensitive data, and image archiving and retrieval.