experimental data

Citation Author(s):
Xiaopeng
Li
Submitted by:
Xiaopeng Li
Last updated:
Thu, 07/04/2024 - 10:24
DOI:
10.21227/2qfh-3k26
License:
0
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Abstract 

Experimental results and analysis demonstrate that the proposed scheme is secure, reliable, easy to implement, and capable of handling binary, grayscale, and color secret images as well as cover images.The characteristics and effectiveness of the proposed algorithm are demonstrated through experiments and comparative analysis. Specifically, we illustrate its application by considering four cover images that share one secret image, implemented using Matlab 2018 programming. The experimental images are shown , and each size is 128´128. Where S1-S2 represent the grayscale and color secret images respectively, while C1-C4 denote the grayscale cover images and C5-C8 correspond to their respective color cover images.

Instructions: 

01-Experimental original images.rar

02-Scrambling images.rar

03-Shares (secret image is S1).rar

04-Statistics of the corresponding pixel difference between the generated image and the original image.vsd

05-Shares (secret image is S2).rar

06-The PSNR comparison of images under different pixel fluctuation values.png

07-The SSIM comparison of images under different pixel fluctuation values.png

 

08-Statistics of the corresponding pixel difference between the generated image and the original image .vsd

09-Pixel correlation of the secret image before and after scrambling.vsd

10-Comparison between the proposed scheme and Yan's [21].rar

11-Comparison between the proposed scheme and Ou's [19].rar