Medical Image Authentication Using Hash Function and Integer Wavelet Transform

Piao, Cheng-Ri; Woo, Dong-Min; Park, Dong-Chul; Han, Seung-Soo

doi:10.1109/cisp.2008.390

Cited by 15 publications

(6 citation statements)

References 2 publications

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“…Though the pixel domain is usually adopted during embedding, the transformed domain such as the Integer Wavelet Transform (IWT) [13] and the Integer-DCT (IDCT) [14], have been considered too, mainly to provide advantages from the invisibility point of view. There are also various algorithms designed specifically for the authentication of medical images ( [15], [8], [5]), but they do not seem to be compliant with the strict requirements of an actual application scenario. In fact, this aspect appears as the most critical: the majority of known works only partially takes into account the structured indications coming from the medical community in terms not only of provided functionalities and performances, but primarily for what concerns the adaptation with a pre-existing infrastructure, security protocols and devices.…”

Section: Introductionmentioning

confidence: 96%

Reversible watermarking for image integrity verification in hierarchical PACS

Fontani

Rosa

Caldelli

et al. 2010

Proceedings of the 12th ACM Workshop on Multimedia and Security

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Reversible digital watermarking has been indicated as the technology to be adopted when image security is to be granted in a medical application scenario. The work presented hereafter provides a new lossless watermarking algorithm designed to really be integrated in a Picture Archiving and Communication System matching the requirements coming from radiological experts. The proposed technique has been developed by modifying and improving the methodology implemented in [3]. Experimental results carried out on medical imagery are provided to demonstrate performance enhancement.

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Section: Introductionmentioning

confidence: 96%

Reversible watermarking for image integrity verification in hierarchical PACS

Fontani

Rosa

Caldelli

et al. 2010

Proceedings of the 12th ACM Workshop on Multimedia and Security

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“…In transform domain watermarking can be performed using DCT (Discrete Cosine Transform) [2] or IWT (Integer Wavelet Transform) [3].Different approaches have been proposed in order to improve the security of medical image transmission using watermarking, which gives one level security. A Tamper Assessment Factor (TAF) of the watermarked image with the physician's signature and patient diagnosis information embedded into wavelet transform coefficients of the medical images is proposed in [4].…”

Section: Introductionmentioning

confidence: 99%

Hybrid LWT-SVD Watermarking Optimized Using Metaheuristic Algorithms along with Encryption for Medical Image Security

H¹,

Siddaiah²

2015

SIPIJ

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Medical image security provides challenges and opportunities, watermarking and encryption of medical images provides the necessary control over the flow of medical information. In this paper a dual security approach is employed .A medical image is considered as watermark and is watermarked inside a natural image. This approach is to wean way the potential attacker by disguising the medical image as a natural image. To further enhance the security the watermarked image is encrypted using encryption algorithms. In this paper a multi-objective optimization approach optimized using different metaheuristic approaches like Genetic Algorithm (GA), Differential Evolution (DE) and Bacterial Foraging Optimization (BFOA) is proposed. Such optimization helps in preserving the structural integrity of the medical images, which is of utmost importance. The water marking is proposed to be implemented using both Lifted Wavelet Transforms (LWT) and Singular Value Decomposition (SVD) technique. The encryption is done using RSA and AES encryption algorithms. A Graphical User Interface (GUI) which enables the user to have ease of operation in loading the image, watermark it, encrypt it and also retrieve the original image whenever necessary is also designed and presented in this paper.

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“…The Preliminary works in this area have been done in the spatial domain (Meerwald et al, 2001;Giakoumaki et al, 2003) and transform domain-using DWT (Discrete Wavelet Transform) for watermarking (Nayak et al, 2004). In transform domain watermarking can be performed using DCT (Discrete Cosine Transform) (Jansen et al, 2009) or IWT (Integer Wavelet Transform) (Piao et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Two level security for medical images using watermarking/encryption algorithms

Kannammal

Rani

2014

Int J Imaging Syst Tech

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In this article, an attempt is made to provide two level securities for medical images using watermarking and encryption. Watermarking provides security and encryption, authenticates medical image and provides integrity. Watermarking is performed by using a new nontensor product wavelet filter banks, which have the ability to reveal singularities in different directions. Natural image is taken as the original image and the medical image is taken as a watermark image. The medical image is embedded into the LH sub band of the natural image. The encryption is performed by RSA, AES, and RC4 algorithms. A qualitative comparative analysis of the proposed algorithm is done for different encryption methods. The proposed algorithm has the ability to withstand different attacks like noise, rotation, contrast, and brightness attacks. Performance analysis is made by calculating PSNR, SSIM, NC, and CV.

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Medical Image Authentication Using Hash Function and Integer Wavelet Transform

Cited by 15 publications

References 2 publications

Reversible watermarking for image integrity verification in hierarchical PACS

Reversible watermarking for image integrity verification in hierarchical PACS

Hybrid LWT-SVD Watermarking Optimized Using Metaheuristic Algorithms along with Encryption for Medical Image Security

Two level security for medical images using watermarking/encryption algorithms

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