Shahrood University of Technology Journal of AI and Data Mining 2322-5211 11 2 2023 04 01 A New Scheme for Lossless Meaningful Visual Secret Sharing by using XOR Properties 195 211 2757 10.22044/jadm.2023.12460.2395 EN Z. Mehrnahad Department of Computer Eengineering, Yazd University, Yazd, Iran. A.M. Latif Department of Computer Eengineering, Yazd University, Yazd, Iran. J. Zarepour Ahmadabadi Department of Computer Science, Yazd University, Yazd, Iran. Journal Article 2022 12 19 In this paper, a novel scheme for lossless meaningful visual secret sharing using XOR properties is presented. In the first step, genetic algorithm with an appropriate proposed objective function created noisy share images. These images do not contain any information about the input secret image and the secret image is fully recovered by stacking them together. Because of attacks on image transmission, a new approach for construction of meaningful shares by the properties of XOR is proposed. In recovery scheme, the input secret image is fully recovered by an efficient XOR operation. The proposed method is evaluated using PSNR, MSE and BCR criteria. The experimental results presents good outcome compared with other methods in both quality of share images and recovered image. https://jad.shahroodut.ac.ir/article_2757_f05e4d9243797574cbf68f6203bc7b38.pdf