A joint medical image compression and encryption using AMBTC and hybrid chaotic system. (17th November 2021)

• Record Type: Journal Article
• Authors: Yadav, Anju; Saini, Bhavna; Verma, Vivek K.; Pal, Vipin
• Is Part Of: Journal of discrete mathematical sciences & cryptography. Volume 24:Number 8(2021)
• Page Start: 2233
• Page End: 2244
• Publication Date: 2021-11-17
• Subjects: 1511 -- 18C10; Compression -- Encryption -- Absolute moment truncation coding -- Arnold's cat map and Henon map; Computer science -- Mathematics -- Periodicals; Cryptography -- Periodicals; Computer science -- Mathematics; Cryptography; Periodicals; 004.0151
• DOI: 10.1080/09720529.2021.2011102
• Languages: English
• ISSNs: 0972-0529

Abstract

Abstract: In wireless communications several imaging methods are developed. During this pandemic situation in worldwide due to COVID 19, telemedicine plays a vital role in maintaining social distancing. In telemedicine, there is demand for high compression and encryption approaches to overcome bandwidth and security issues. In this work, a joint compression and encryption (JCE) approach for images is proposed. The proposed model is more secure with faster computational time. For compression Absolute Moment Truncation Coding approach is used and furthermore for encryption two chaotic maps i.e., Arnold's Cat and Henon Map are applied on the compressed image. Further, the experimental results were studied to measure the performance of the model for brute force, differential and statistical attack. The proposed schemes have shown good results for compression and even for security i.e., NPCR 99.86, UCAI=30.29, MSE= 108.91, PSNR=28.34, Correlation Coefficient = -0.0054 and Entropy 7.97 against the various other approaches.