A new scheme for lossless meaningful visual secret sharing by using XOR properties

Abstract

In this paper, a new scheme for lossless meaningful visual secret sharing by using XOR properties is presented. In this method, the input secret image is converted into several share images and these shares are distributed among individuals. In the proposed method, noise-like share images are generated using properties of XOR and genetic algorithm. In the next step by using other properties of XOR, shares become meaningful. In recovery phase the input secret image is fully recoverd by an efficient XOR operation. The proposed method is evaluated using PSNR, MSE, BCR criteria and presents good results on different images with different number of shares compared with other methods. The exprimental results show that the quality of generated share images is satisfable too.