This model combines Privilege-based Visual Secret Sharing Model (PVSSM) and two-dimensional Logistic-Adjusted Sine Map (2D-LASM). This repository is MATLAB Code of the paper. http://www.cai.sk/ojs/index.php/cai/article/view/2019_3_701

[Hou, Y.-C.|Quan, Z.-Y.|Tsai, C.-F.: A Privilege-Based Visual Secret Sharing Model. Journal of Visual Communication and Image Representation, Vol. 33, 2015, pp. 358-367, doi: 10.1016/j.jvcir.2015.10.005.]

[Hua, Z.|Zhou, Y.: Image encryption using 2D Logistic-adjusted-Sine map. Information Sciences, Vol. 339, 2016, pp. 237-253, doi: https://doi.org/10.1016/j.ins.2016.01.017]

In this paper, we aim to present the Chaotic Encryption-based PVSSM for color images. The secret color image is first separated into RGB channels. Then, RGB channels are transformed into binary images. PVSSM and 2D-LASM based image encryption are applied respectively to each channel. Even if the shares are captured and stacked, the secret image would not be seen. In decryption process, the shares of each channel are decrypted with 2D-LASM and stacked. Recreated RGB channels are merged. To obtain the original color image from the combined RGB channels, the pixel values of 1 are changed to 255. Finally, the secret image is revealed. Histogram analysis is applied for all R, G and B channels. In addition, for observing the proposed method's performance on different image distortions, data loss and salt-pepper noise attack are applied to the encrypted images. The results show that this method has high resistance against these attacks.

This is my Master thesis which is called Kaotik şifrelemeli ayrıcalık tabanlı görsel gizli paylaşım modeli geliştirilmesi / Development of chaotic encrypted privilege based visual secret sharing model.