基于正反向误差扩散的改进灰度图像半色调视觉秘密共享方案

A. Kamboj, D. Gupta
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引用次数: 7

摘要

视觉密码学是一种数据安全技术,它允许对视觉信息进行加密,使其可以由人的视觉系统进行解密。可视化秘密共享方案将一个秘密图像编码成一些单独的共享,这些共享不透露秘密信息。利用基本的visual(2,2)方案获得了份额。首先采用半色调误差扩散法将可见光图像转换成半色调图像。然后将秘密图像编码成带有重要视觉信息的半色调共享。股票被分配给参与者,然后他们被强制执行以揭示秘密。本文从PSNR、NCC、MSE和UQI等方面分析了不同误差扩散技术后恢复的秘密图像的视觉质量。通过分析发现,当误差在图像的前后方向上均匀分布到相邻像素时,恢复的秘密图像效果更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Improved Halftone Visual Secret Sharing Scheme for Gray-Level Images Based on Error Diffusion in Forward and Backward Direction
Visual cryptography is data security technique which allows visual information to be encrypted in such away that their decryption can be performed by human visual system. Visual secret sharing scheme encode a secret image into some shares which separately reveal no knowledge about the secret information. The share are obtained using basic visual (2, 2) scheme. The visible image is first converted into halftones shares using halftone error diffusion method. Then secret image is encoded into halftone shares carrying significant visual information. Shares are distributed to participants and then they are super imposed to reveal the secret. In this paper work, the visual quality of recovered secret images obtained after different error diffusion techniques is analysed with respect to PSNR, NCC, MSE and UQI. On analysis it is found that results of recovered secret image are better when errors are distributed uniformly to each of neighboring pixels in both forward and backward direction in the image.
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