KEYWORDS: Image encryption, Complex systems, Image information entropy, Signal to noise ratio, Diffusion, Wavelet transforms, Matrices, Control systems, Computer security
Color light field images encryption algorithm based on frequency domain DNA coding and integer wavelet transform (IWT) is introduced. First, the light field image is decomposed into sub-view images in the angular domain plane. Subsequently, a low-frequency coefficient matrix and three high-frequency coefficient matrices are obtained in the frequency domain using the two-dimensional IWT. The low-frequency coefficient matrix is encrypted using DNA coding and a self-controlled chaotic system based on PWLCM. The high-frequency coefficient matrix is scrambled, and then the reconstructed intermediate encrypted image is obtained by a two-dimensional integer wavelet inverse transform. Finally, in the spatial domain, a diffusion operation is performed to obtain the final encrypted image. The simulation shows that this algorithm has the advantages of large key space, high operation efficiency, good encryption security and strong resistance to various attacks.
A chaotic image encryption algorithm based on bit level is proposed. The 8-bit grayscale matrix image is divided into a higher 4-bit matrix image and a lower 4-bit matrix image, which named higher bit image and lower bit image, respectively. Then the encrypted operations are performed on the higher bit and lower bit image. The operations include the mutual disturbing and element exchange operations between them, the scrambling of higher bit image and the diffusion of lower bit images. Simulations and performance analyses show that the proposed scheme has the advantages of large key space, strong system sensitivity, and excellent encryption security, especially good resistance to salt and pepper noise attacks.
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