2020 Vol.3 Apr. No.2

• Title: Research on 3D CT mechanical image encryption algorithm based on compound chaotic model
• Name: Hua Zhou
• Company: School of Information Engineering,Zhengzhou Institute of Technol
• Abstract:

  In order to solve the problem that the image encryption algorithm cannot eliminate the strong correlation between adjacent pixels in the image, with poor ability to resist attack and low efficiency, a component fusion image encryption algorithm based on complex chaotic model is proposed. Extracting the RGB color component of the image for DCT transformation, it is then rotated and fused to complete the initial encryption of the image information. In order to further enhance the security of image information, 2D discrete cosine transform and 2D compressed sensing measurement are applied to the initial encrypted image information. The real number matrix of measurement is merged into the complex value matrix, and the adaptive random phase coding is applied. The image information complex chaotic encryption model is constructed according to the coding result, so as to eliminate the strong correlation between the adjacent pixels. Particle swarm optimization (PSO) is used to coordinate and optimize the parameters of the compound chaotic encryption model to improve the encryption performance of the model.

• Keyword: Compound Chaotic Encryption; Component Fusion; Image Encryption; DCT Transform;
• DOI: 10.12250/jpciams2020020216
• Citation form: Hua Zhou.Research on 3D CT mechanical image encryption algorithm based on compound chaotic model[J]. Computer Informatization and Mechanical System, 2020, vol. 3, pp. 116-119.

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