Secure Transmission of DICOM Images by comparing different cryptographic algorithms

Navamani, T. M.; Bharadwaj, Akhil; Agrawal, Rohit; Agarwal, Umang

doi:10.1016/j.matpr.2019.07.078

Cited by 4 publications

(1 citation statement)

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“…AES and Blake Hash Function are two cryptographic algorithms that are employed. In [Navamani et al 2019], they suggested a blind, fragile, and ROI lossless MIW approach that may be used as an all-in-one solution tool for a range of medical data distribution and management difficulties, including security, secure archiving, and authentication.…”

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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Section: Related Workmentioning

confidence: 99%