An adjustable visual image cryptosystem based on 6D hyperchaotic system and compressive sensing

In this paper, an efficient and adjustable visual image encryption scheme is proposed by combining a 6D hyperchaotic system, compressive sensing, Bezier curve embedding. First, the plain sparse discrete wavelet transform (DWT). Then, encrypted compressed through game-of-life (GOL) hybrid scrambling sensing into cipher image. Next, embedding utilized to embed carrier in domain. After these operations, final visually meaningful steganographic generated. Additionally, frequency-domain information of used generate initial values system process, which makes able effectively resist chosen-plaintext attacks (CPA) known-plaintext (KPA). Moreover, our exhibits excellent performance compared with existing related schemes. Ultimately, simulation results comprehensive analyses demonstrate that paper has high decryption quality, security, robustness, operating efficiency.