Open AccessAn Efficient Framework to Protect Medical Images
Author(s) -
Mamtha Mohan,
K V Suma,
Deepika B Banagar
Publication year - 2022
Publication title -
international journal of online and biomedical engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.184
H-Index - 8
ISSN - 2626-8493
DOI - 10.3991/ijoe.v18i04.27841
Subject(s) - lossless compression , encryption , entropy (arrow of time) , computer science , algorithm , decibel , bit rate , data compression , mathematics , artificial intelligence , computer engineering , computer security , telecommunications , physics , quantum mechanics
In this work, lossless compression is considered and an efficient Encryption–then-compression (ETC) scheme is proposed for medical images. A considerably good level of security is achieved by the proposed scheme where image encryption is operated in the prediction error domain. In addition, reasonably good compression of the encrypted medical images is achieved. Comparison is done between Gradient adjusted prediction (GAP) & Median Edge Detector (MED) techniques and GAP is found to perform better with respect to PSNR, bit rate and entropy. The average values of PSNR, bit rate and entropy in decibels for MED predictor are 10.8313, 3.7695 and 3.8624 respectively. Similarly, for GAP predictor, the average values of PSNR, bit rate and entropy in decibels are 11.9025, 4.0279 and 4.1286 respectively.