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

In this paper, an encryption algorithm for remote sensing image based on a new type of Novel Chebyshev chaotic system (NCCS) and a combined encryption algorithm for remote sensing image, gray image and color image are proposed. Aiming at the problem of large amount of remote sensing image data, this paper proposes NCCS algorithm, which effectively reduces the time complexity of the algorithm, and the generated pseudo-random sequence is more uniform, and the performance is better. On this basis, the remote sensing image encryption, first of all, each band of remote sensing image in a different channel, to obtain a three-dimensional matrix, using three-dimensional spiral curve to read each section of the three-dimensional matrix, a two-dimensional matrix composed of several one-dimensional sequences is obtained. This method makes each channel produce some coupling and reduces the dimension of the matrix, thus effectively improving the scrambling effect. Chaotic maps scramble one-dimensional sequences, then scramble one-dimensional sequences, and diffuse them by cyclic left shift based on additive modules. Because this method is suitable for multi-channel image encryption, it can be used not only for remote sensing image encryption, but also for remote sensing image, gray image, and color image encryption. Simulation results and performance analysis show that the method has good security. Compared with some existing encryption schemes, this method has a wider application range.