Authors: I. Edwin Dayanand; R.K. Selva Kumar; N.R. Ram Mohan
Addresses: Moderator Gnanadason Polytechnic College, Computer Science Engineering, Distillery Road, Nagercoil, Tamil Nadu, India ' CSE, CVR College of Engineering, Hyderabad, India ' CSE, Sun College of Engineering and Technology Nagercoil, Tamil Nadu, India
Abstract: This paper proposes a medical video-based visual cryptography model using graph-based coherence shape Lagrange interpolation (G-CSLI). This G-CSLI model reduces the noise on medical video while generating shares and minimises the transmission time by minimising the computational complexity during secret sharing. At first, a probabilistic polynomial-time model is used with the objective of minimising computational complexity during secret sharing. Here, the similarity is measured based on the luminance and structure. Finally, a Lagrange-interpolation scheme is applied with the objective of minimising the transmission time and improves the security. Overall, the proposed model minimises the computational complexity while secret sharing and performs experimental evaluation on factors such as security, transmission time and noise in medical video-based visual cryptography. The experimentation shows that the proposed model is able to reduce the computational complexity while secret sharing by 13.11% and reduce the transmission time by 39.03% compared to the state-of-the-art algorithms.
Keywords: chaotic oscillations; probabilistic model; visual cryptography; probabilistic polynomial coherence shape; Lagrange interpolation.
International Journal of Biomedical Engineering and Technology, 2021 Vol.35 No.2, pp.93 - 110
Received: 10 Aug 2017
Accepted: 12 Jan 2018
Published online: 19 Feb 2021 *