Image Compreesion-Encryption Algorithm Combining Compressive Sensing With Log Operation

In recent years, compressive sensing as a new signal acquisition method has attracted much attention for its breakthrough in the traditional sampling methods. The theory of compressive sensing is introduced in the dissertation and the image compression-encryption algorithm based on compressive sensing and log operation to accomplish encryption and compression simultaneously is proposed. The proposed algorithm not only takes advantage of the physical realizability of partial Hadamard matrix, but also takes advantage of the resistance of the chosen-plaintext attack since all the elements in partial Hadamard matrix are 1,-1 or log1=0. And it is sensitive to the key and it can resist various common attacks. Simulation results show that the algorithm is of high security and validity. This algorithm not only can resist noise but also has good compression performance.