Reversible blind watermarking for medical images based on wavelet histogram shifting

Golpîra, Hêmin; Danyali, Habibollah

doi:10.1109/isspit.2009.5407489

Cited by 33 publications

(18 citation statements)

References 7 publications

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“…This has higher embedding capacity within the bio-medical signal (3kB-resting ECG, 200kB-stress tests, 30MBambulatory ECG) and encoder achieves a compression ratio of 3real time to 5-offline operation. Results show high embedding capacity (up to 89%) and PRD (7)(8)(9).…”

Section: Related Workmentioning

confidence: 99%

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Secure Transmission of Bio-Medical Data Using Steganography

Thenmozhi¹,

Sureka²,

Segu³

2018

IJCT

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To transmit secret data over the internet, the information should be sent in a way attacker finds it difficult to read the secret data. In this paper patient's secret information is hidden in the bio-medical signal like ECG/EEG/PPG. The transmitted information generally contains (1) biomedical-signals (2) patient data. Main concerns include privacy and authenticity of the data being transmitted. A secret key is used which is known to sender and receiver. This paper introduces a novel steganography technique that guarantees (1) protection of private data utilizing a key and (2) originality of the bio-medical-signals. To maximize embedding, Fast-Walsh-Hadamard Transform is used to convert the signals into a set of coefficients. The proposed technique can be applied on three bio-medical signals like ECG/EEG/PPG unlike any other technique which uses only one bio-medical signal. To achieve least distortion, coefficients of least significant bit is considered. The algorithm has less impact on the bio-medical signal and the signal at the transmitting side can be recovered with less distortion.

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Section: Related Workmentioning

confidence: 99%

“…In [9], by applying integer-wavelet transform, the host-image component is mapped to the integer-wavelet coefficient. Considering high frequency-sub-band of transformed image, the watermark data is embedded in those sub-bands.…”

Section: Related Workmentioning

confidence: 99%

Secure Transmission of Bio-Medical Data Using Steganography

Thenmozhi¹,

Sureka²,

Segu³

2018

IJCT

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“…The wavelet histogram shifting technique to hide the binary hospital logo was implemented using the locations of the thresholds and zero-points in the histogram for inserting the watermark [5]. Spatial domain approaches have also been explored for patient identification using a triangular function [6].…”

Section: Related Workmentioning

confidence: 99%

Interleaving Scheme for Medical Image Authentication

Turuk¹,

Dhande²

2016

Emerging Research in Computing, Information, Communication and Applications

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Recent developments in communication and information technologies have brought new challenges for easier access, storage, processing, and distribution of medical data for health information systems (HIS). In advanced medical applications including telemedicine and telediagnosis there is a need to exchange the information over an insecure network and hence protection of the confidentiality, integrity, and authentication of medical images is a vital issue. Digital watermarking has the potential to contribute important services for data authentication and copyright protection. This paper presents the discrete cosine transform (DCT)-based approach for interleaving electronic patient records (EPR) in the form of text and heart rate signal (ECG) with medical images. To improve the security, the text data and ECG signal are encrypted before interleaving in the frequency domain. Predicative coding techniques such as adaptive delta modulation (ADM) and differential pulse code modulation (DPCM) are applied for ECG signal encryption and compression. The quality of the watermarked image is assessed using peak signal-to-noise ratio and normalised mean square error. The qualitative analysis was carried out by taking opinions from the physicians and radiologist and it was found that the perceptual integrity of the medical image was preserved. The experimental results on different medical image modalities (MRI, MRA, CT) are analysed, which demonstrates the efficiency and transparency of the proposed scheme as compared to the earlier reported methods.

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“…Hemin Golpira et al [42] reported reversible blind watermarking. In this approach during embedding process, firstly by applying Integer Wavelet Transform (IDWT) image is decomposed into four subbands.…”

Section: Fig 2 Block Diagram Of Medical Image Watermarkingmentioning

confidence: 99%

Analysis of Watermarking Techniques for Medical Images Preserving ROI

Rathi¹

2012

Computer Science &Amp; Information Technology (CS &Amp; IT)

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Telemedicine is a well-known application, where enormous amount of medical data need to be securely transfer over the public network and manipulate effectively. Medical image watermarking is an appropriate method used for enhancing security and authentication of medical data, which is crucial and used for further diagnosis and reference. This paper discusses the available medical image watermarking methods for protecting and authenticating medical data. The paper focuses on algorithms for application of watermarking technique on Region of Non Interest (RONI) of the medical image preserving Region of Interest (ROI). The medical images can be transferred securely by embedding watermarks in RONI allowingverification of the legitimate changes at the receiving end without affecting ROI.

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Reversible blind watermarking for medical images based on wavelet histogram shifting

Cited by 33 publications

References 7 publications

Secure Transmission of Bio-Medical Data Using Steganography

Secure Transmission of Bio-Medical Data Using Steganography

Interleaving Scheme for Medical Image Authentication

Analysis of Watermarking Techniques for Medical Images Preserving ROI

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