Enhancing Image Security and Privacy Using Double Random Phase Encoding Based Chaotic System and Compressed Sensing

With the rapid advancements in multimedia communications, safeguarding image data holds significant aspect of the cyber security field. However, it is necessary to ensure the security of transmitted data and maintain the privacy issue. The Optical Imaging Encryption techniques have attracted serious interest due to its efficiency of concealing information in multiple dimensions by encoding the original signal in the spatial and frequency domains and the efficient parallel processing of two-dimensional images. In addition, Chaos-based encryption provides a powerful defense against cryptographic attacks due to its properties, for instance, nonlinearity and sensitivity to initial conditions. To exploit the inherent unpredictability and complexity of chaotic system by combining the benefits of chaotic maps and Double Random Phase Encoding (DRPE), a robust DRPE technique based on chaotic maps and compressed sensing is proposed. Where, a two random phase masks (RPMs) are generated using chaotic JSMP map to eliminate the need of key transmission in secure channels, to provide high unpredictability and key sensitivity, to strengthen the encryption system. Secondly, a DCT transform is used to decompose the image into its frequency coefficients. Then, the frequency coefficients are minimized by using compressed sensing technique to compress the image data and enhancing storage management and transmission time. Finally, the output matrix will be used as an input to the (DRPE) system to generate the cipher image. The combination of these techniques ensures reliability against cyber threats such as differential cryptanalysis and other attacks.