XVC scheme-based secret sharing model with hybrid optimization algorithm for visual cryptography

Visual cryptography (VC) is a model that permits visual data in an encrypted manner in such a way that decrypted data occurs in the form of visual image. A scheme is modeled for secret sharing considering VC. It divides secret image into various shares for revealing secret image. Here, major aim is to design XOR-based VC (XVC) with a secret sharing scheme for VC. The image is splitted into different shares based on an XVC with newly developed adjustable pixel expansion. Here, an optimal weight factor is generated using the proposed optimization algorithm, named invasive snake optimizer (ISO). The ISO is obtained by the integration of Invasive weed optimization (IWO) and snake optimizer (SO) considering encryption power and decryption power. Then, decryption is performed to retrieve the output image. The ISO-XVC provided high efficiency with the best decryption power of 0.799, encryption power of 8.898, and PSNR of 53.674 dB.