Compressive Sensing based Medical Image Compression and Encryption using Proposed 1-D Chaotic Map

Compressive sensing and chaos based simultaneous compression-encryption of medical images is presented in this paper. A new chaotic map that is highly sensitive to its initial parameters and chaotic in wider range of its control value is proposed. Chaotic behavior of the proposed map is compared with that of the existing logistic map as well. The measurement matrix for compressively sensing the images is constructed based on this proposed map. Also, the initial parameter of the map is used as secret keys in designing the encryption algorithm. Various encryption results are presented to verify the performance of the proposed map and the compression- encryption scheme.