A Reversible Watermark With a New Overflow Solution

Feng, Bin; Yu, Botao; Bei, Yilin; Duan, Xinqiang

doi:10.1109/access.2018.2875923

Cited by 11 publications

(5 citation statements)

References 18 publications

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“…Ishtiaq et al [26] propose a prediction-error expansion based watermarking scheme, in which a hybrid predictor is used to enhance the prediction efficiency and the adaptive embedding is used to improve embedding capacity. Feng et al [27] use wavelet histogram shifting for reversible embedding. In addition, Logistic mapping, Torus mapping and CRC are used to improve the security of the watermark.…”

Section: B Reversible Watermarkingmentioning

confidence: 99%

“…In this manner, the security risks caused by the segmentation of the ROI and the RONI in spatial domain for watermark embedding are avoided, which cannot be achieved by either spatial domain-based or frequency domain-based ROI-lossless watermarking schemes. Compared with the fragile reversible watermarking [22]- [27], our proposed watermarking scheme provides stronger robustness against various attacks and thus provides more reliable verifications of image authenticity. Compared with both fragile and robust reversible watermarking schemes [22]- [29], our proposed watermarking scheme divides ROI and RONI for watermark generation and provides an effective recovery function for tampered ROI under limited embedding capacity.…”

Section: E Qualitative Comparisonsmentioning

confidence: 99%

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

et al. 2019

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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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Section: B Reversible Watermarkingmentioning

confidence: 99%

Section: E Qualitative Comparisonsmentioning

confidence: 99%

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

et al. 2019

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“…If −T − s•2 l < χ ex < −T, the current and the next watermark embedding flag are different from the corresponding watermark bit. In this case, extract the flags for the current and the next blocks in addition to correcting the flag of the current ESF by using Equations (30) and (31).…”

Section: Watermark Extractionmentioning

confidence: 99%

“…As medical images are highly sensitive to visual quality, most of the copyright protection algorithms use reversible embedding strategies. This approach ensures that after the watermarking is extracted, the medical image can be fully restored [28][29][30][31]. For example, Coatrieux et al [32] combine the reversible watermark scheme with a fragile reversible watermark embedding scheme.…”

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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“…This technology is implemented by several spatial or transforms or hybrid domain algorithms. [2][3][4][5][6][7] However, single or hybrid domain algorithms cannot meet the basic design requirements simultaneously with perfection. Hence, researchers are now concentrating F I G U R E 1 Digital image watermark-embedding framework on the most advanced techniques like optimization and machine learning (ML) algorithms due to wide application demand.…”

Section: Introductionmentioning

confidence: 99%

Towards the development of an effective image watermarking system

Begum

Uddin

2021

Security and Privacy

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Digital data communication or sharing has increased day by data because of excessive usage of the Internet. It is necessary to protect digital data from unauthorized access. However, it is very difficult to ensure the authenticity of the host data. Digital image watermarking is a significant technology for ensuring this authentication. Existing hybrid domain algorithms are not effective enough to overcome the potential challenges of watermarking techniques. Hence, the current image watermarking technology is devoted toward developing more effective methods with optimization and machine-learning algorithms for ensuring a better trade-off among the basic design requirements like imperceptibility, robustness, and capacity simultaneously in addition to security that can be confirmed with lightweight image encryption algorithms. In this research, a framework of standard image watermarking system for ensuring the basic design requirements is given, the existing literature is studied, and the recent trends of image watermarking techniques and their applications are also described to investigate the performance of the state-of-the-art methods along with their limitations. Finally, we have concluded our study by pointing to new research directions.

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A Reversible Watermark With a New Overflow Solution

Cited by 11 publications

References 18 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 Reversible Watermarking System for Medical Color Images: Balancing Capacity, Imperceptibility, and Robustness

Towards the development of an effective image watermarking system

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