An evolutionary programming approach for securing medical images using watermarking scheme in invariant discrete wavelet transformation

Gangadhar, Y.; Akula, Giridhar; Reddy, P. Chenna

doi:10.1016/j.bspc.2018.02.007

Cited by 80 publications

(19 citation statements)

References 42 publications

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“…The watermark bits are then integrated into the similar left singular value matrix values using appropriate thresholding to carefully maintain imperceptibility and robustness. In the innovative approach presented by Gangadhar & al [ 17 ], a sub-band decomposition of the medical image is first performed by carefully applying a DWT. Next, an SVD is applied precisely to the LL subbands.…”

Section: Related Workmentioning

confidence: 99%

A lossless DWT-SVD domain watermarking for medical information security

Zermi

Khaldi

Kafi

et al. 2021

Multimed Tools Appl

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The goal of this work is to protect as much as possible the images exchanged in telemedicine, to avoid any confusion between the patient’s radiographs, these images are watermarked with the patient’s information as well as the acquisition data. Thus, during the extraction, the doctor will be able to affirm with certainty that the images belong to the treated patient. The ultimate goal of our completed work is to properly integrate the watermark with as little distortion as possible to typically retain the medical information in the image. In this innovative approach used DWT decomposition is appropriately applied to the image which allows a remarkably satisfactory adjustment during the insertion. An SVD is then applied to the three subbands LL, LH and HL, which ideally allows retaining the maximum energy of the used image in a guaranteed minimum of singular values. A specific combination of the three resulting singular value matrices is then performed for watermark integration. The proposed approach ensures data integrity, patient confidentiality when sharing data, and robustness to several conventional attacks.

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Section: Related Workmentioning

confidence: 99%

A lossless DWT-SVD domain watermarking for medical information security

Zermi

Khaldi

Kafi

et al. 2021

Multimed Tools Appl

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“…Owing to the rapid development of information technology, intelligent medicine and remote diagnosis are becoming more and more mature [4][5][6]. A large number of medical images are often transmitted through the Internet [7]. Unauthorized persons can easily obtain, store, use, and tamper with medical images on the network [8].…”

Section: Introductionmentioning

confidence: 99%

Zero-Watermarking Algorithm for Medical Image Based on VGG19 Deep Convolution Neural Network

Han

Jia

et al. 2021

Journal of Healthcare Engineering

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Aiming at the security issues in the storage and transmission of medical images in the medical information system, combined with the special requirements of medical images for the protection of lesion areas, this paper proposes a robust zero-watermarking algorithm for medical images’ security based on VGG19. First, the pretrained VGG19 is used to extract deep feature maps of medical images, which are fused into the feature image. Second, the feature image is transformed by Fourier transform, and low-frequency coefficients of the Fourier transform are selected to construct the feature matrix of the medical image. Then, based on the low-frequency part of the feature matrix of the medical image, the mean-perceptual hashing algorithm is used to achieve a set of 64-bit binary perceptual hashing values, which can effectively resist local nonlinear geometric attacks. Finally, the algorithm adopts a watermarking image after scrambling and the 64-bit binary perceptual hashing value to obtain robust zero-watermarking. At the same time, the proposed algorithm utilizes Hermite chaotic neural network to scramble the watermarking image for secondary protection, which enhances the security of the algorithm. Compared with the existing related works, the proposed algorithm is simple to implement and can effectively resist local nonlinear geometric attacks, with good robustness, security, and invisibility.

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“…Most of the current research in watermarking is aimed at developing a robust or imperceptible watermarking model by combining several algorithms in the spatial or transform domain, which leads to increased computational time. Several transformation algorithms are used, such as cosine transform [3], wavelet transform [4,5] and contourlet transform [6,7]. Transform domain methods are used to improve either the robustness or the imperceptibility by transmuting the raw pixel value into a certain coefficient, inserting the watermark, and then performing inverse transformation to get the embedded pixel value.…”

Section: Introductionmentioning

confidence: 99%

A Novel Watermarking Method using Hadamard Matrix Quantization

Adi

Arsiwi

2020

J. ICT Res. Appl.

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One of the most used watermarking algorithms is Singular Value Decomposition (SVD), which has a balanced level of imperceptibility and robustness. However, SVD uses a singular matrix for embedding and two orthogonal matrices for reconstruction, which is inefficient. In this paper, a Hadamard matrix is used to get a singular matrix for the reconstruction process. Moreover, SVD works with a floating-point value, which takes long processing time, while the Hadamard matrix works with an integer range, which is more efficient. Visual measurement showed that SVD and the new method had average NC values of 0.8321 and 0.8293, whereas the average SSIM values resulted in the same value (0.9925). In terms of processing time, the proposed method ran faster than SVD with an embedding and extraction time of 0.6308 and 0.2163 seconds against 0.8419 and 0.2935 seconds. The proposed method successfully reduced the running time while maintaining imperceptibility and robustness.

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An evolutionary programming approach for securing medical images using watermarking scheme in invariant discrete wavelet transformation

Cited by 80 publications

References 42 publications

A lossless DWT-SVD domain watermarking for medical information security

A lossless DWT-SVD domain watermarking for medical information security

Zero-Watermarking Algorithm for Medical Image Based on VGG19 Deep Convolution Neural Network

A Novel Watermarking Method using Hadamard Matrix Quantization

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