A STATE OF THE ART REVIEW ON FAST IMAGE ENCRYPTION BASED ON THE COMPRESSING SENSING

Abstract

A novel visually secure compressive sensing (CS) based image encryption scheme is proposed. Firstly, the plain image is converted into wavelet coefficients and then, using compressive sensing, confused by a zigzag path and encrypted into a compressed cypher image. The cypher image is then inserted into a carrier image, and a visually stable cypher image is gradually acquired. The original image's SHA 256 hash function is generated to calculate the zigzag confusion and one-dimensional skew tent map parameters, and the map is used to create the CS measurement matrix. The proposed algorithm is therefore highly sensitive to the plain image and can withstand known-plaintext and selected-plaintext attacks efficiently. In addition, our algorithm can simultaneously achieve image data protection and image appearance security, and the size of the cypher image and the original image is equal, requiring no additional bandwidth transmission and storage space. Simulation results and performance analyses both show the proposed encryption scheme's excellent encryption performance.