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

Wang, Rui; Han, Sunyoung; Zhang, Peng; Cheng, Zheng; Zhang, Yujin

doi:10.1109/access.2020.3004841

Cited by 29 publications

(15 citation statements)

References 61 publications

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“…Ran et al [ 136 ] used MSE criteria between the original image and ciphered image. Also, Wang et al [ 188 ] used this metric in their grading. The retrieved images from their work are heavily deranged by noise but can still recognize the primary information inside the image affected by the noise.…”

Section: Performance Metricsmentioning

confidence: 99%

Security of medical images for telemedicine: a systematic review

Magdy

Hosny

Ghali

et al. 2022

Multimed Tools Appl

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Recently, there has been a rapid growth in the utilization of medical images in telemedicine applications. The authors in this paper presented a detailed discussion of different types of medical images and the attacks that may affect medical image transmission. This survey paper summarizes existing medical data security approaches and the different challenges associated with them. An in-depth overview of security techniques, such as cryptography, steganography, and watermarking are introduced with a full survey of recent research. The objective of the paper is to summarize and assess the different algorithms of each approach based on different parameters such as PSNR, MSE, BER, and NC.

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Section: Performance Metricsmentioning

confidence: 99%

Security of medical images for telemedicine: a systematic review

Magdy

Hosny

Ghali

et al. 2022

Multimed Tools Appl

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“…In [Wang et al 2020], a hybrid watermarking approach has been proposed that utilizes visual cryptography with watermarking (VCW). A VCW is exercised to segment images as well as to determine the smallest energy band in which the watermarks are included for the integration of a watermark communicating the medical image owner's information [Golub et al 1979].…”

Section: Related Workmentioning

confidence: 99%

Color Ultrasound Image Watermarking Scheme Using FRT and Hessenberg Decomposition for Telemedicine Applications

Kumar¹,

Singh²

2022

jucs

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Watermarking is a valuable technique for verifying medical images obtained through the internet for diagnosis. There is a greater need for security in medical pictures with ever- increasing security risks. This research presented a Finite Ridgelet Transform (FRT)-Hessenberg based watermarking scheme in medical images. The suggested paradigm is divided into two stages. Before watermark insertion, FRT is applied to medical images. The coefficients are combined into blocks of 4 x 4 and each block is decomposed using Hessenberg decomposition. The second column of the Q matrix is used to insert the watermark using the additive quantization technique. The results obtained from our experiment have given good visual quality of the watermarked images. The high PSNR value 53.6121 and NC value 1.0 show that our scheme is performing better. Moreover, the performance of our scheme is robust against several attacks. The consequences of this result imply that the anticipated scheme is effective for medical image watermarking.

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“…At the same time, they also increased the computational complexity. Based on NSPD-DCT, Rui Wang [19] proposed a zero watermarking scheme against rotation attacks, and it had strong robustness to various attacks. Jing Liu [20] proposed an encrypted watermarking algorithm in the DTCWT-DCT domain combined with Henon Map.…”

Section: Literature Surveymentioning

confidence: 99%

A robust encryption watermarking algorithm for medical images based on ridgelet-DCT and THM double chaos

Liu

et al. 2022

J Cloud Comp

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With the help of big data, cloud computing, artificial intelligence and other technologies, the informatization and intelligence of the wisdom medical have been gradually realized. However, with the transmission and storage of massive amounts of medical images in the cloud, information security issues have become increasingly prominent. The privacy of patients is at risk of disclosure, theft and tampering, which has become an important challenge restricting the development of wisdom medical. How to protect the personal information of patients in the cloud environment has become an urgent problem to be solved. Medical image watermarking technology is an effective method to solve this problem. Combining the characteristics of Tent chaos and Henon chaos, this paper designed a Tent-Henon-Map double chaos watermarking encryption method and designed a medical image encryption watermarking algorithm based on ridgelet-DCT transform. The watermark images were encrypted by the Tent-Henon-Map double chaos which had the characteristics of sensitive initial values and large key space. Then, the feature vectors of the medical images were extracted through ridgelet-DCT transform. On the basis of ordinary watermarking technology, combined with zero watermarking, third-party concepts, and cryptographic technology, watermarking had a good ability to resist image processing attacks. The experimental results showed that the key space of the algorithm was $${10}^{116}$$ 10 116 , which had better encryption and hard to crack. The time of watermark embedding and extraction were only 0.336 s and 0.439 s, with lower computational cost. And under high-strength conventional attacks and geometric attacks, the NC values of the algorithm were all greater than 0.55, which could effectively extract watermark information. It shown that the algorithm proposed had good robustness against conventional and geometric attacks It shown that the algorithm proposed had good robustness against conventional and geometric attacks, while taking into account the security.

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

Cited by 29 publications

References 61 publications

Security of medical images for telemedicine: a systematic review

Security of medical images for telemedicine: a systematic review

Color Ultrasound Image Watermarking Scheme Using FRT and Hessenberg Decomposition for Telemedicine Applications

A robust encryption watermarking algorithm for medical images based on ridgelet-DCT and THM double chaos

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