Color image encryption based on chaotic compressed sensing and two-dimensional fractional Fourier transform
Xingyuan Wang, Yining Su
Abstract
Combining the advantages of structured random measurement matrix and chaotic structure, this paper introduces a color image encryption algorithm based on a structural chaotic measurement matrix and random phase mask. The Chebyshev chaotic sequence is used in the algorithm to generate the flip permutation matrix, the sampling subset and the chaotic cyclic matrix for constructing the structure perceptual matrix and the random phase mask. The original image is compressed and encrypted simultaneously by compressed sensing, and re-encrypted by two-dimensional fractional Fourier transform. Simulation experiments show the effectiveness and reliability of the algorithm.
Topics & Concepts
ChaoticEncryptionAlgorithmFractional Fourier transformComputer scienceCompressed sensingFourier transformMatrix (chemical analysis)Discrete Fourier transform (general)Permutation (music)Permutation matrixMathematicsArtificial intelligenceFourier analysisMathematical analysisPhysicsCirculant matrixMaterials scienceOperating systemComposite materialAcousticsChaos-based Image/Signal EncryptionAdvanced Steganography and Watermarking TechniquesImage and Signal Denoising Methods