Enhancing image security and privacy with hybrid double random phase encoding, lorenz maps, and compressed sensing

Abstract

The resilient and secure image encryption method presented in this research combines the benefits of Lorenz maps and double random phase encoding (DRPE) with compressed sensing. The suggested method attempts to maximize the use of storage resources while maintaining the security and integrity of sensitive image data during transmission and storage. Utilizing the energy compaction characteristics of the original image, compressed sensing with discrete cosine transform (DCT) is used in the encryption process to effectively represent and transmit the encrypted data. Lorenz maps are also used to create double random phase masks, adding high unpredictability and key sensitivity to strengthen the encryption scheme’s security. Utilizing a variety of performance indicators, including the PSNR, NPCR, MSE, and SSIM, experimental investigations demonstrate the usefulness of the suggested strategy.