Noise-resistant Image Encryption Scheme for Medical Images in the Chaos and Wavelet Domain

Shafique, Arslan Noise-resistant Image Encryption Scheme for Medical Images in the Chaos and Wavelet Domain. IEEE Access. ISSN 2169-3536

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Abstract

In this paper, a noise-resistant image encryption scheme is proposed. We have used a cubic-logistic map, Discrete Wavelet Transform (DWT), and bit-plane extraction method to encrypt the medical images at the bit-level rather than pixel-level. The proposed work is divided into three sections; In the first and the last section, the image is encrypted in the spatial domain. While the middle section of the proposed algorithm is devoted to the frequency domain encryption in which DWT is incorporated. As the frequency domain encryption section is a sandwich between the two spatial domain encryption sections, we called it a "sandwich encryption." The proposed algorithm is lossless because it can decrypt the exact pixel values of an image. Along with this, we have also gauge the proposed scheme’s performance using statistical analysis such as entropy, correlation, and contrast. The entropy values of the cipher images generated from the proposed encryption scheme are more remarkable than 7.99, while correlation values are very close to zero. Furthermore, the pixel change rate (NPCR) and unified average change intensity (UACI) for the proposed encryption scheme is higher than 99.4% and 33, respectively. We have also tested the proposed algorithm by performing attacks such as cropping and noise attacks on enciphered images, and we found that the proposed algorithm can decrypt the plaintext image with little loss of information, but the content of the original image is visible.

Item Type:	Article
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Engineering and Applied Sciences (FEAS) > Department of Electrical Engineering Islamabad
Depositing User:	Mr. Arslan Shafique
Date Deposited:	25 May 2021 14:48
Last Modified:	25 May 2021 14:48
URI:	http://research.riphah.edu.pk/id/eprint/1391

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