Phase image encryption in the fractional Hartley domain using Arnold transform and singular value decomposition. (April 2017)

• Record Type: Journal Article
• Authors: Singh, Phool; Yadav, A.K.; Singh, Kehar
• Is Part Of: Optics and lasers in engineering. Volume 91(2017)
• Page Start: 187
• Page End: 195
• Publication Date: 2017-04
• Subjects: Phase image -- Arnold transform -- Singular value decomposition -- Fractional Hartley transform; Lasers in engineering -- Periodicals; Optical measurements -- Periodicals; Optics -- Periodicals; Lasers en ingénierie -- Périodiques; Mesures optiques -- Périodiques; Optique -- Périodiques; 621.36605
• DOI: 10.1016/j.optlaseng.2016.11.022
• Languages: English
• ISSNs: 0143-8166

Abstract

Abstract: A novel scheme for image encryption of phase images is proposed, using fractional Hartley transform followed by Arnold transform and singular value decomposition in the frequency domain. Since the plaintext is a phase image, the mask used in the spatial domain is a random amplitude mask. The proposed scheme has been validated for grayscale images and is sensitive to the encryption parameters such as the order of the Arnold transform and the fractional orders of the Hartley transform. We have also evaluated the scheme's resistance to the well-known noise and occlusion attacks. Highlights: Phase image encryption has been performed in the fractional Hartley domain for the first time. Arnold transform and Singular Value Decomposition are used in the frequency domain to strengthen security. The proposed scheme is sensitive to the encryption parameters and shows robustness against noise and occlusion attacks.