Contourlet-DCT based multiple robust watermarkings for medical images

Wu, Xiaoqi; Li, Jingbing; Tu, Rong; Cheng, Jieren; Bhatti, Uzair Aslam; Ma, Jixin

doi:10.1007/s11042-018-6877-5

Cited by 44 publications

(23 citation statements)

References 13 publications

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“…14 to Fig. 16, it is clear that the proposed scheme generally outperforms the other three watermarking methods in [38,40,42] for the above attacks. Especially, this advantage is more obvious when the size of watermark is large, for instance, the watermark image 4 used in Fig.16.…”

Section: Comparison With Other Zero-watermarking Algorithmsmentioning

confidence: 77%

“…7 was used as the test image at this time. Table 19 shows the extracted watermarks from attacked Peppers images using the proposed scheme and the three methods in [38,40,42], and it can prove that the proposed scheme is more robust than other three methods. Because of the strong attack parameters used in the comparison experiments, some of the extracted watermarks in other three comparative methods are almost not clear enough in Table 19.…”

Section: Comparison With Other Zero-watermarking Algorithmsmentioning

confidence: 96%

“…To evaluate the robustness of the proposed scheme in comparison with other methods, we have compared the results of our scheme with the three methods in [38,40,42]. We firstly embedded the 64 × 64 watermark image 2, shown in Fig.…”

Section: Comparison With Other Zero-watermarking Algorithmsmentioning

confidence: 99%

“…Finally, the zero-watermark is generated by performing an exclusive-or operation between the scrambled watermark and the feature matrix. Considering that better robustness of watermarking can be achieved in transform domain, some multi-scale transforms such as Contourlet [42] and Shearlet [43,44], regarded as extension of the wavelet transform, have been applied to the zero-watermarkings. In [42], a robust zero-watermarking algorithm was proposed based on contourlet transform (CT) and DCT for medical images, Logistic Map is used to encrypt the original watermark to ensure the security of it.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Zero-Watermarking Scheme Based on Variable Parameter Chaotic Mapping in NSPD-DCT Domain

et al. 2020

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In this paper, a novel image zero-watermarking scheme against rotation attacks is proposed based on nonsubsampled pyramid decomposition (NSPD) and discrete cosine transform (DCT). It utilizes the intrinsic characteristics of NSPD and DCT to extract the robust feature of an image as the original zero-watermark. To increase the security of the proposed scheme, a variable parameter chaotic mapping (VPCM) is designed for the processes of watermark encryption and robust feature extraction. Firstly, the host gray-scale image is decomposed by NSPD, and the low-frequency sub-band image is divided into nonoverlapping blocks. After the blocks are transformed by DCT, the signs of the first AC coefficients from all the blocks are used to construct a binary feature image. Then an exclusive-or operation is performed between the binary feature image and the encrypted watermark image to obtain the verification zero-watermark image. Furthermore, a method against arbitrary rotation attacks is employed to improve the robustness of the scheme against geometric attacks. The experimental results demonstrate that the proposed scheme is highly robust against various image processing attacks such as filtering, JPEG compression, scaling, translation, rotation and Checkmark attacks. INDEX TERMS Discrete cosine transform, Nonsubsampled pyramid decomposition, Rotation attacks, Variable parameter chaotic mapping, Zero-watermarking.

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Section: Comparison With Other Zero-watermarking Algorithmsmentioning

confidence: 77%

Section: Comparison With Other Zero-watermarking Algorithmsmentioning

confidence: 96%

Section: Comparison With Other Zero-watermarking Algorithmsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Novel Zero-Watermarking Scheme Based on Variable Parameter Chaotic Mapping in NSPD-DCT Domain

et al. 2020

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“…Based on the properties of the CT and NSCT domains, watermarking methods for 2D images have been steadily presented [36]- [41]. In particular, NSCT-based watermarking methods for 2D medical images in [36], [37] showed outstanding performance by exploiting NSCT and DCT in a hybrid method.…”

Section: A Brief Review Of Nsctmentioning

confidence: 99%

NSCT-Based Robust and Perceptual Watermarking for DIBR 3D Images

et al. 2020

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Depth-image-based rendering (DIBR), where arbitrary views are synthesized from a center image and depth image, has received much attention in the three-dimensional (3D) research field. With advances in depth-acquisition techniques and the proliferation of 3D glasses and 3D display devices, there is a growing demand for schemes to protect the copyrights of DIBR 3D images. Digital watermarking is a typical protection technology and designing a watermarking method for DIBR 3D images is a challenging task because the synchronization of watermarks can easily be broken in the process of generating synthetic images. To address this issue, we propose a non-subsampled contourlet transform (NSCT)-based blind watermarking for DIBR 3D images. To ensure the proposed method has properties of robustness against the DIBR process, we conduct an analysis of robustness for NSCT subbands against DIBR attacks. Based on the analysis results, we select subbands that are robust against DIBR attacks and embed watermark in the low coefficients of NSCT subbands using quantization-based embedding. While ensuring robustness, the proposed method also improves the imperceptibility of watermarks by adjusting their embedding strength according to computed perceptual masking values. Through experiments, we show that the proposed method is robust against both desynchronization attacks of the DIBR process and common attacks including signal processing operations and geometric distortions. The high imperceptibility of our method is also verified by several evaluation metrics in a subjective and objective manner. INDEX TERMS Depth-image-based rendering (DIBR), digital watermarking, DIBR 3D image watermarking, non-subsampled contourlet transform (NSCT), multi-bit watermarking.

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Privacy information antistealing control method of medical system based on cloud computing

Yao¹,

Wang

2020

Int J Communication

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With the development of cloud computing, the security of information has gradually become the focus of people. The patient information processed by the medical system has a very high sensitivity and privacy. If there is a leak, it will have a great impact on the patients. The purpose of this study is to explore the privacy information antistealing control method of medical system based on cloud computing. In this paper, through big data analysis, experimental research, variable comparison, and other methods, combined with modern security management means, we carry out the algorithm experiment and research on the privacy information antistealing control means. The result is that the running time of the three algorithms is 18, 16, and 10 s in turn when the algorithm runs 1000 times. It can be seen that the operation time of the enhanced encryption algorithm in this study is less than the initial algorithm by 8 s, the speed is increased by more than 40%. The conclusion is to improve the efficiency of data computing time and make the encryption process more efficient and accurate. The privacy data protection of medical system plays a good role.

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Contourlet-DCT based multiple robust watermarkings for medical images

Cited by 44 publications

References 13 publications

A Novel Zero-Watermarking Scheme Based on Variable Parameter Chaotic Mapping in NSPD-DCT Domain

A Novel Zero-Watermarking Scheme Based on Variable Parameter Chaotic Mapping in NSPD-DCT Domain

NSCT-Based Robust and Perceptual Watermarking for DIBR 3D Images

Privacy information antistealing control method of medical system based on cloud computing

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