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Proceedings ArticleDOI

Arnold - wavelet based robust watermarking technique for medical images

TLDR
This paper attempts to substantiate the claimed features of multi-transform domain security model based on Arnold transform aimed at spatial de-correlation of the cover image followed by Discrete Wavelet Transform domain based watermark insertion to achieve enhanced robustness while preserving the quality of the image.
Abstract
Telemedicine is a combination of medical information system and information technology, that includes the use of computers for receiving, storing and transmitting medical information over the internet. The potential challenges involved in this communication model include confidentiality, robustness against attacks and integrity. In this article, multi-transform domain security model is proposed based on Arnold transform aimed at spatial de-correlation of the cover image followed by Discrete Wavelet Transform domain based watermark insertion. The salient feature of this combination of transforms is to achieve enhanced robustness while preserving the quality of the image. This paper attempts to substantiate the claimed features by conducting the experiments on the benchmark images (MRI & US-Scan). The results of experiments have been demonstrated through Structural Similarity Index (SSIM), Normal Cross Correlation (NCC) and Peak Signal-to-Noise Ratio (PSNR) quality measures.

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Citations
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Proceedings ArticleDOI

A Study on the Applications of the Biomedical Image Encryption Methods for Secured Computer Aided Diagnostics

TL;DR: In this work, some application of cryptographic methods have been discussed which are used to protect biomedical images from unwanted modifications and access and can be highly beneficial in future research in the field of biomedical image protection as well as multimedia data security.
Book ChapterDOI

A Survey on the New Development of Medical Image Security Algorithms.

TL;DR: The security requirements of medical images in cloud computing are analyzed and a survey is introduced focusing on the development status of medical image security techniques in recent 5 years to point out the possible directions for future research.
Proceedings ArticleDOI

Embedded Dynamic Modification for Efficient Watermarking Using Different Medical Inputs in IoT

TL;DR: A robust medical watermarking based on digital water marking to embed a physician's signature in a medical image within a hidden state is elaborated on.
Proceedings ArticleDOI

A Robust Double Watermarking Technique for Medical Images with Semi-fragility

TL;DR: The experimental results show that ownership is survived despite the attacks which is considered to be robust authenticity and causing a distortion in patent id, corresponding to semi-fragility.
Journal ArticleDOI

A Robust Dual Watermarking Technique for Medical Images in EHealthcare Records

TL;DR: This paper proposes a prudent implementation of robust pipeline in the domain of watermark based secure medical image transmission, termed as Multi Transform based Robust Dual Water Marking (MTRDW).
References
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Journal ArticleDOI

Toward secure public-key blockwise fragile authentication watermarking

TL;DR: The authors attempt to maximise the change localisation resolution using only one dependency per block with a scheme they call hash block chaining version 1 (HBC1), and show that HBC1, as well as any neighbour content-dependent scheme, are susceptible to another forgery technique that they have named a transplantation attack.
Journal ArticleDOI

Circularly orthogonal moments for geometrically robust image watermarking

TL;DR: Simulation results show that the embedded information can be decoded at low error rates, robust against image rotation, scaling, flipping, as well as a variety of other common manipulations such as lossy compression, additive noise and lowpass filtering.
Journal ArticleDOI

Robust Image Watermarking Based on Multiscale Gradient Direction Quantization

TL;DR: Experimental results show that the proposed GDWM outperforms other watermarking methods and is robust to a wide range of attacks, e.g., Gaussian filtering, amplitude scaling, median filtering, sharpening, JPEG compression, Gaussian noise, salt & pepper noise, and scaling.
Journal ArticleDOI

Robust Histogram Shape-Based Method for Image Watermarking

TL;DR: This paper proposes a novel image-watermarking method to deal with cropping and random bending attacks, as well as other common attacks, and proposes a watermark-embedding scheme to insert watermarks into the chosen pixel groups.
Journal ArticleDOI

Statistical Fragile Watermarking Capable of Locating Individual Tampered Pixels

TL;DR: A novel statistical scheme of fragile watermarking is proposed, in which a set of tailor-made authentication data for each pixel together with some additional test data are embedded into the host image.
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