Secure image block compressive sensing using complex Hadamard measurement matrix and bit‐level XOR

This paper proposes a novel image compression-encryption scheme based on compressive sensing and bit-level XOR. In the proposed scheme, encrypted sequences are generated from 4-D hyper-chaotic Lorenz system Logistic system. First, an original is sampled by secure block parallel (PCS) scheme. PCS phase, key-controlled discrete cosine transform sparse basis matrix complex Hadamard measurement employed. Next, real part imaginary of resulting complex-valued data quantized transformed into bit streams, respectively. After that, two streams combined one stream. Then, stream further XOR operation, where key chaotic The experiment results show effectiveness reliability joint can not only enhance security compressed but also improve reconstructed quality image.