A double image visual security encryption algorithm combining compressive sensing and chaotic mapping is proposed to balance the security and efficiency of image encryption technology. Firstly
the classical one-dimensional Chebyshev chaotic map is improved by introducing a nonlinear feedback term to construct the key-controlled measurement matrixes and secret code streams. Then
the measurement matrixes are employed to compress the integer wavelet coefficients of two plain images from two directions
respectively
and under the control of the secret code streams
the compressed images are encrypted through Fan transform and bidirectional diffusion operation to generate secret images. Finally
the least significant bit embedding method is applied to randomly embed the encrypted image information into the pixel value channel and the alpha channel of any carrier image to realize the synchronization compression and visual security encryption of the two plaintext images. Simulation results show that under the premise of security
the proposed algorithm could double the payload capacity of secret information
reduce the encryption time by more than 40%
and improve the peak signal-to-noise ratio of decryte image around 1~7 dB
compared with the visually secure single-image encryption scheme based on complicated hyper-chaotic system.
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