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Journal ArticleDOI

ECG steganography using curvelet transform

TLDR
An attempt has been made to use curvelet transforms which permit identifying the coefficients that store the crucial information about diagnosis in ECG steganography to validate that coefficients around zero are ideal for watermarking to minimize deterioration and there is no loss in the data retrieved.
About
This article is published in Biomedical Signal Processing and Control.The article was published on 2015-09-01. It has received 56 citations till now. The article focuses on the topics: Watermark & Steganography.

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Citations
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Journal ArticleDOI

Curvelets-based ECG steganography for data security

TL;DR: A novel technique which uses curvelet transforms to hide patient information into their ECG signal is presented and the observations validate that its performance is superior compared with the random locations approach.
Journal ArticleDOI

Real-Time Medical Systems Based on Human Biometric Steganography: a Systematic Review.

TL;DR: Recommendations on how the challenges associated with data hiding can be addressed are provided to enhance the efficiency of using biometric information processed in any authentication real-time medical system.
Journal ArticleDOI

Preserving privacy of online digital physiological signals using blind and reversible steganography.

TL;DR: This work proposes a reversible, low-payload steganographic scheme for preserving the privacy of physiological signals, which is both reversible and blind like other Hamming-code based schemes.
Journal ArticleDOI

Hybrid and blind watermarking scheme in DCuT – RDWT domain

TL;DR: The proposed hybrid and blind watermarking scheme based on hybridization of two advance transforms such that discrete curvelet transform (DCuT) and redundant discrete wavelets transform (RDWT) is proposed for the protection of copyright of digital images.
Journal ArticleDOI

Patient data hiding into ECG signal using watermarking in transform domain

TL;DR: The proposed wavelet method based watermarking scheme for patient information hiding in the ECG as a QR image outperforms the state-of-the-art and is useful in patient information data hiding scheme in ECG.
References
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Journal ArticleDOI

A Real-Time QRS Detection Algorithm

TL;DR: A real-time algorithm that reliably recognizes QRS complexes based upon digital analyses of slope, amplitude, and width of ECG signals and automatically adjusts thresholds and parameters periodically to adapt to such ECG changes as QRS morphology and heart rate.
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Techniques for data hiding

TL;DR: This work explores both traditional and novel techniques for addressing the data-hiding process and evaluates these techniques in light of three applications: copyright protection, tamper-proofing, and augmentation data embedding.
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Fast Discrete Curvelet Transforms

TL;DR: This paper describes two digital implementations of a new mathematical transform, namely, the second generation curvelet transform in two and three dimensions, based on unequally spaced fast Fourier transforms, while the second is based on the wrapping of specially selected Fourier samples.
Journal ArticleDOI

The curvelet transform for image denoising

TL;DR: In this paper, the authors describe approximate digital implementations of two new mathematical transforms, namely, the ridgelet transform and the curvelet transform, which offer exact reconstruction, stability against perturbations, ease of implementation, and low computational complexity.
Journal ArticleDOI

Scope of validity of PSNR in image/video quality assessment

TL;DR: Experimental data are presented that clearly demonstrate the scope of application of peak signal-to-noise ratio (PSNR) as a video quality metric and it is shown that as long as the video content and the codec type are not changed, PSNR is a valid quality measure.
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