Design And Implementation Of Image Compression Encryption System Based On Chaos And Compressive Sensing

With the rapid development of Internet technology,the application of image is more and more extensive.In the process of image transmission and storage,there are also a lot of security and efficiency problems.In order to realize the secure and fast transmission of images,the research on image encryption and compression technology has research value and practical significance.In this paper,the hyperchaotic system and compressive sensing are studied.Firstly,a hyperchaotic system is designed,and then the hyperchaotic system is combined with compressive sensing to construct a safe and reliable image compression encryption algorithm.Then,aiming at the problem of low execution efficiency of compressive sensing,this paper attempts to introduce two-dimensional compressive Sensing into image compression encryption scheme.The main research content of this paper can be divided into the following parts.(1)Aiming at the shortcomings of the current chaotic encryption algorithm,such as the small space of low-dimensional chaotic key,low complexity and difficulty in resisting large-scale attacks,a new 5-dimensional hyperchaotic system is designed.In order to verify the chaotic performance of the hyperchaotic system designed in this paper,a simulation experiment is carried out on the constructed hyperchaotic system.Theoretical analysis and experimental results show that the hyperchaotic system designed in this paper has excellent performance.The designed hyperchaotic system can be used in the subsequent image compression and encryption algorithm to provide sufficient security.(2)Aiming at the problems of poor image reconstruction quality,complex implementation and insufficient security in the current image compression and encryption schemes,this paper designs an image compression and encryption algorithm based on hyperchaotic system and compressive sensing by using the designed five-dimensional hyperchaotic system.In addition,this paper also designed a compressive sensing measurement matrix optimization algorithm to improve the quality of image reconstruction in the process of compressive sensing.(3)Aiming at the shortcomings of the low efficiency and poor quality of image reconstruction in the image compression encryption algorithm based on compressive sensing,this paper introduced two-dimensional compressive sensing into image compression encryption algorithm,and designed a image compression encryption algorithm based on two-dimensional compressive sensing and hyperchaotic system,not only improve the quality of the compressed image reconstruction also speed up the processing efficiency.(4)Based on the designed hyperchaotic system and image compression encryption algorithm,this paper finally designed and implemented an image compression and encryption system.The image compression and encryption system proposed in this paper can realize the fast compression and encryption of gray image.In this paper,a five-dimensional hyperchaotic system is designed.After theoretical analysis and experimental verification of hyperchaotic system,the hyperchaotic system designed in this paper has strong pseudo-randomness and more complex chaotic behavior,which can be well applied to image compression and encryption algorithm.Based on the constructed five-dimensional hyperchaotic system,the image encryption algorithms based on one-dimensional and two-dimensional compressive sensing are designed respectively in this paper.Experimental results show that the proposed algorithm has the advantages of simple implementation,high security,high execution efficiency and good compression performance.In addition,this paper proposes an optimization algorithm of compressive sensing measurement matrix,which effectively improves the reconstruction quality of compressive sensing image.