Title of article :
A New Scheme for Lossless Meaningful Visual Secret Sharing by using XOR Properties
Author/Authors :
Mehrnahad ، Zeinab Department of Computer Eengineering - Yazd University , Latif ، AliMohammad Department of Computer Eengineering - Yazd University , Zarepour Ahmadabadi ، Jamal Department of Computer Science - Yazd University
From page :
195
To page :
211
Abstract :
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.
Keywords :
Meaningful secret sharing , Secret sharing , Visual secret sharing , Genetic algorithm
Journal title :
Journal of Artificial Intelligence and Data Mining
Journal title :
Journal of Artificial Intelligence and Data Mining
Record number :
2749860
Link To Document :
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