A modified dual watermarking scheme for digital images with tamper localization/detection and recovery capabilities

It is of great importance in telemedicine to protect authenticity and integrity of medical images. They are mainly addressed by two technologies, which are region of interest (ROI) lossless watermarking and reversible watermarking. However, the former causes biases on diagnosis by distorting region of none interest (RONI) and introduces security risks by segmenting image spatially for watermark embedding. The latter fails to provide reliable recovery function for the tampered areas when protecting image integrity. To address these issues, a novel robust reversible watermarking scheme is proposed in this paper. In our scheme, a reversible watermarking method is designed based on recursive dither modulation (RDM) to avoid biases on diagnosis. In addition, RDM is combined with Slantlet transform and singular value decomposition to provide a reliable solution for protecting image authenticity. Moreover, ROI and RONI are divided for watermark generation to design an effective recovery function under limited embedding capacity. Finally, watermarks are embedded into whole medical images to avoid the risks caused by segmenting image spatially. Experimental results demonstrate that our proposed lossless scheme not only has remarkable imperceptibility and sufficient robustness but also provides reliable authentication, tamper detection, localization, and recovery functions, which outperforms existing schemes for protecting medical images. INDEX TERMS Robust reversible watermarking, authenticity, integrity, medical image.

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“…patients [7]- [9]. Integrity means that medical images have not been modified by non-authorized people [10]- [12].…”

Section: Introductionmentioning

confidence: 99%

A Novel Robust Reversible Watermarking Scheme for Protecting Authenticity and Integrity of Medical Images

et al. 2019

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“…This is the most demanding type of watermarking as the watermarking is generated and embedded at the transmitter, while detection and extraction will happen at receiver as illustrated in Figure 2. Watermarking is also done even in prepossessing stage and the approach presented here does not impact the efficiency of the network in which a watermark is inserted as the embedded watermark while it is training the host network [13,14].…”

Section: Astesj Issn: 2415-6698mentioning

confidence: 99%

A Computational Modelling and Algorithmic Design Approach of Digital Watermarking in Deep Neural Networks

Kavitha¹,

Eranna²,

Giriprasad³

2020

Adv. sci. technol. eng. syst. j.

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In this paper we propose an algorithmic approach for Convolutional Neural Network (CNN) for digital watermarking which outperforms the existing frequency domain techniques in all aspects including security along with the criteria in the neural networks such as conditions embedded, and types of watermarking attack. This research addresses digital watermarking in deep neural networks and with comprehensive experiments through computational modeling and algorithm design, we examine the performance of the built system to demonstrate the potential of watermarking neural networks. The inability of intruder towards the retrieval of data without the knowledge of architecture and keys is also discussed and results of the proposed method are compared with the state of the art methods at different noises and attacks.

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“…An eigenface is taken as the robust watermark embedded into the low frequency subband LL while the fragile watermark is based on LSB substitution to detect the tamper and locate the damaged region [8] the corresponding region of eigenface is used to recover the image. A modified dual watermarking scheme [9], this paper presents watermarks generation from the host image itself. The robust watermark inserted into the region of interest (ROI) based on Integer Wavelet Transform (IWT) and the secondary watermark is embedded by the LSB substitution for tamper localization and recovery.…”

Section: Related Workmentioning

confidence: 99%

Multipurpose Watermarking Based on SWT and SVD

Sivananthamaitrey¹,

Kumar²

2018

IJET

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Dual digital watermarking has emerged as a successful solution for copyright protection, tamper detection and localization. However, several problems related to the robustness, capacity, tampered area detection still mystifying. This paper presents a high capacity dual watermarking mechanism for digital color image. An invisible robust watermark is embedded in the Green component of the host image by using a hybrid combination of Stationary Wavelet Transform (SWT) and Singular Value Decomposition (SVD) for copyright protection. A fragile invisible watermark based on the Least Significant Bit (LSB) replacement approach is embedded in the Blue component of the image for tamper detection and localization. The proposed technique focuses on robustness and imperceptibility while maximizing embedding capacity that makes this technique a multipurpose watermarking scheme.

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A modified dual watermarking scheme for digital images with tamper localization/detection and recovery capabilities

Cited by 7 publications

References 7 publications

A Novel Robust Reversible Watermarking Scheme for Protecting Authenticity and Integrity of Medical Images

A Novel Robust Reversible Watermarking Scheme for Protecting Authenticity and Integrity of Medical Images

A Computational Modelling and Algorithmic Design Approach of Digital Watermarking in Deep Neural Networks

Multipurpose Watermarking Based on SWT and SVD

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