Color image encryption method based on dynamic chaos and matrix convolution operation

Abstract

The invention discloses a color image encryption method based on dynamic chaos and matrix convolution operation. According to the method, a cloud model and generalized Fibonacci are combined to propose a new composite chaotic system, dynamic random change of a chaotic sequence is realized, and scrambling transformation of pixel point coordinates is performed on spliced images of R, G and B components of a color image by using the chaotic sequence; then, the chaotic sequence value is used as a matrix convolution cloud side for alternately updating an input value and a pixel value of matrix convolution operation, and replacement transformation of an original pixel value is realized; and finally, positive and negative two-way exclusive OR operation is carried out on the replaced pixel value,a cloud model Fibonacci chaotic sequence and the pixel values of the front (rear) adjacent pixel points to realize linkage diffusion transformation of the pixel values of the whole pixel points causedby the change of any pixel value so as to generate encrypted images in sequence. The method has the characteristics of high encryption security, high anti-interference performance, high robustness and the like.

Description

technical field [0001] The invention relates to a color image encryption method, in particular to a color image encryption method based on a cloud model-based Fibonacci chaotic system and matrix convolution operation. Background technique [0002] With the rapid development of information technology, the security of multimedia data such as images, videos, and audios has aroused widespread concern. Safe and efficient encryption of image information is the focus of multimedia research, and designing new encryption methods based on chaotic systems has become an effective method for image encryption. [0003] Use the chaotic sequence to scramble the plaintext image to change the position of the pixel, and at the same time change the pixel value of the pixel, the original image information will not be recognized, and finally the pixel is diffused to hide the information of the plaintext pixel in a more Among the many ciphertext pixels, image information processing in steps can i...

AI Technical Summary

Problems solved by technology

Xie Tao and others designed a diffusion-joint scrambling-joint diffusion encryption method, and proposed to use coupled Logistic mapping to generate random key streams, but the chaotic system is too simple to resist exhaustive attacks, and the diffusion process is cumbersome

In order to increase the complexity of the chaotic system, Wang Yong and others added segmented Logistic mapping to the space-time chaos as the basis for pixel scrambling, and at the same time used the method of mutual scrambling of components to scramble the pixels. Although the chaotic system is complex and difficult to crack, However, the pixels after scrambling and diffusion have a large correlation problem

Zhijun L proposed a quaternary composite chaotic system based on mapping structures such as tent and improved Logistic, and then used the chaotic sequence to jointly scramble the RGB components for color image encryption. Although the composite chaos can resist exhaustive attacks, the scrambling diffusion operation can Reduce the correlation of pixels, but the chaotic system of four chaotic combinations is too complicated, and the time complexity increases, which affects the encryption efficiency

Feng X and others proposed a parallel multi-channel color image encryption method for mixed chaotic systems, using three kinds of chaos to encrypt three components respectively. Although the form is simple and the efficiency is fast, the scrambling diffusion method is traditional and the ciphertext is highly correlated. Ciphertext images are easy to crack

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