Image Encryption Based on Development of Hénon Chaotic Maps using Fractional Fourier Transform

In this paper, we propose an image encryption scheme based on the development of a Hénon chaotic map using fractional Fourier transform (FRFT) which is introduced in order to satisfy the necessity of high secure image transfer. This proposed algorithm combines the main advantages of fractional Fourier transform domain (FRFT), chaotic Arnold cat map encryption algorithm for confusion and our proposed Hénon chaotic map for diffusion. Our proposed algorithm is compared with some different chaotic maps as Arnold cat map, Baker map, Hénon map and RC6 algorithm. We perform a comparison between them in several experimental, statistical analyses, processing time and key sensitivity tests. We find from these comparison tests that our proposed algorithm demonstrates good result even better than RC6 and other chaotic maps in some cases.