Simultaneous Compression and Encryption of Video Sequences Based on 3D Compressive Sensing and 3D Discrete Fractional Random Transform

In this paper, we propose a novel video sequences compression and encryption method combining 3D compressive sensing (3D-CS) with 3D discrete fractional random transform (3D-DFrRT). In this scheme, the original video sequences were transformed with discrete wavelet and measured by three Gaussion random matrices to achieve compression and encryption simultaneously, and then the resulting 3D image was reencrypted by Arnlod transform (AT) and 3D-DFrRT. Three random circular matrices used in 3D-FrRT were constructed by sine logistic modulation map. The threedimensional smoothed `0-norm algorithm was adopted to obtain the decrypted video sequences. Simulation results verified the good compression performance, efficiency and security of the proposed method.