Fragile watermarking for copyright authentication and tamper detection of medical images using compressive sensing (CS) based encryption and contourlet domain processing

Thanki, Rohit M.; Borra, Surekha

doi:10.1007/s11042-018-6746-2

Cited by 44 publications

(17 citation statements)

References 26 publications

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“…Any complex matrix A of considerable size m*n of rank r (the established rank of the complex matrix A represent the specific number of non-zero singular values). Next there is an orthogonal matrix U of explicit order m*m, an orthogonal matrix V of order n*n and a “pseudo-diagonal” matrix S of dimension r [ 41 ] such that A: …”

Section: Proposed Watermarking Schemementioning

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: Proposed Watermarking Schemementioning

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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“…Here w k represents the k-th watermark bit to be embedded in this block and I i,j is the same as in Equation (18). s is the embedding intensity and it meets the conditions of Equation (22).…”

Section: Watermark Embeddingmentioning

confidence: 99%

“…Recently, the copyright of medical images has attracted researchers' attention [18,19]. Digital watermarking is one of the prevalent techniques to protect the ownership of images [20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

A Reversible Watermarking System for Medical Color Images: Balancing Capacity, Imperceptibility, and Robustness

Zhou

Zhang

et al. 2021

Electronics

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The authenticity and integrity of medical images in telemedicine has to be protected. Robust reversible watermarking (RRW) algorithms provide copyright protection and the original images can be recovered at the receiver’s end. However, the existing algorithms have limitations in their ability to balance the tradeoff among robustness, imperceptibility, and embedded capacity. Some of them are even not completely reversible. Besides, most medical image watermarking algorithms are not designed for color images. To improve their performance in protecting medical color image information, we propose a novel RRW scheme based on the discrete wavelet transform (DWT). First, the DWT provides a robust solution. Second, the modification of the wavelet domain coefficient guarantees the changes of integer values in the spatial domain and ensures the reversibility of the watermarking scheme. Third, the embedding scheme makes full use of the characteristics of the original image and watermarking. This reduces the modification of the original image and ensures better imperceptibility. Lastly, the selection of the Zernike moments order for geometric correction is optimized to predict attack parameters more accurately by using less information. This enhances the robustness of the proposed scheme against geometric attacks such as rotation and scaling. The proposed scheme is robust against common and geometric attacks and has a high embedding capacity without obvious distortion of the image. The paper contributes towards improving the security of medical images in remote healthcare.

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“…is image encryption method camouflages the existence of the original image, thus reducing the possibility of being attacked to a certain extent. As of now, many meaningful image encryption algorithms have been proposed [20][21][22][23][24][25][26][27][28][29][30][31][32][33]. Inspired by [19], the work of [20] embeds multiple color images into nonessential areas of the carrier image to achieve visually meaningful effects.…”

Section: Introductionmentioning

confidence: 99%

Novel Meaningful Image Encryption Based on Block Compressive Sensing

Pan

Huang

et al. 2019

Security and Communication Networks

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is paper proposes a new image compression-encryption algorithm based on a meaningful image encryption framework. In block compressed sensing, the plain image is divided into blocks, and subsequently, each block is rendered sparse. e zigzag scrambling method is used to scramble pixel positions in all the blocks, and subsequently, dimension reduction is undertaken via compressive sensing. To ensure the robustness and security of our algorithm and the convenience of subsequent embedding operations, each block is merged, quantized, and disturbed again to obtain the secret image. In particular, landscape paintings have a characteristic hazy beauty, and secret images can be camou aged in them to some extent. For this reason, in this paper, a landscape painting is selected as the carrier image. After a 2-level discrete wavelet transform (DWT) of the carrier image, the lowfrequency and high-frequency coe cients obtained are further subjected to a discrete cosine transform (DCT). e DCT is simultaneously applied to the secret image as well to split it. Next, it is embedded into the DCT coe cients of the low-frequency and high-frequency components, respectively. Finally, the encrypted image is obtained. e experimental results show that, under the same compression ratio, the proposed image compression-encryption algorithm has better reconstruction e ect, stronger security and imperceptibility, lower computational complexity, shorter time consumption, and lesser storage space requirements than the existing ones.

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Fragile watermarking for copyright authentication and tamper detection of medical images using compressive sensing (CS) based encryption and contourlet domain processing

Cited by 44 publications

References 26 publications

A lossless DWT-SVD domain watermarking for medical information security

A lossless DWT-SVD domain watermarking for medical information security

A Reversible Watermarking System for Medical Color Images: Balancing Capacity, Imperceptibility, and Robustness

Novel Meaningful Image Encryption Based on Block Compressive Sensing

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