Investigation on image compression and encryption scheme based on different Fractional order hyper chaotic systems combined with Compressive Sensing and DNA operations

Abstract

A compression and encryption scheme for image is proposed to achieve compression along with encryption based on various hyperchaotic fractional order systems that combine compressive sensing (CS) and DNA operations. The proposed work implements CS to achieve the sampling rate less than the Nyquist rate thus improves compression of the image data. The measurement matrix generated from the fractional order hyperchaotic system and DNA operations enhances the encryption process performance. The sequences of fractional order hyperchaotic system regulates the DNA operations thus increasing the randomness of the encryption process. The proposed work employs fractional order hyperchaotic Lorenz system and Fractional order hyperchaotic Lu system for measurement matrix generation and to control DNA operations. The experimental analysis compares and validate the efficiency of the encryption process and compression performance of the proposed two different compression and encryption method based on fractional order hyperchaotic Lorenz system and Fractional order hyperchaotic Lu system respectively with compression and encryption method based on Fractional order hyperchaotic Chen system [27], [15] and [16]. The experimental results show that the performance efficiency of the three different fractional order hyperchaotic is nearly equal and better than the other encryption schemes based on hyperchaotic, chaotic and non-chaotic systems. The compression and encryption scheme for image based on various fractional order hyper chaotic Systems maintain good Compressive sensed image reconstruction quality along with significantly improved encryption process that resists multiple attacks.