Research on multiple-image encryption scheme based on joint power spectral division multiplexing and ghost imaging

Abstract

Since there are problems of easy cross-talk, large ciphertext transmission and low security in the process of multiple-image encryption, in order to solve these problems, a multiple-image encryption algorithm based on joint power spectral division multiplexing and ghost imaging (GI) is proposed. The joint transform correlator is combined with GI to realize ‘one encryption to one key’, which improves the security of the encryption system. Joint power spectrum (JPS) is compressed by the iterative restoration algorithm to reduce the transmissions of ciphertext. The joint power spectral division multiplexing is used, and the optimized phase mask is linearly superposed. The JPS of each channel has different positions on the spectrum plane, and then the non-crosstalk superposition is realized by window filtering. In this paper, the security, robustness, and encryption capacity of the encryption system are verified by numerical simulation.

A Novel Remote Sensing Image Encryption Scheme Based on Block Period Arnold Scrambling

“…The remote sensing images are encrypted by the classical diffusion method of cyclic left-side modetaking and mode-adding. Currently, there is a growing number of the general image encryption schemes; However, there is a deficiency of encryption solutions that combine different kinds of algorithms to achieve enhanced the resistance to cracking [23][24][25]. To solve the above problems, the encryption scheme based on the HACLML system is designed.…”

Remote sensing image and multi-type image joint encryption based on NCCS

“…It also includes the application of fractal ordering theory proposed by Xian et al in image encryption [15][16][17], image encryption schemes based on DNA coding theory [18][19][20], and encryption schemes based on matrix half-tensor products and Boolean networks [21]. Common image and multi-image encryption schemes are growing, but joint encryption schemes for multi-type images are currently absent [22][23][24].…”