The Improvement of Flip (2,2) Visual Cryptography Images Using Two Key Images

ComTech Pub Date : 2016-09-30 DOI:10.21512/COMTECH.V7I3.2501
Ratna Dewi, Putri Kartika Sari
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引用次数: 1

Abstract

The Flip (2, 2) Visual Cryptography (FVC) is one of the techniques used to encrypt the two secret images into two dual purpose transparencies. The two transparencies can be sent to the objective person. The first secret images can be obtained by stacking the two transparencies and the second secret images can be obtained by stacking the one transparency with the flipping other transparency. Unfortunately, the result decryption processes still have noise and the quality of decrypted secret image is not as same as original secret image. This article proposed the new algorithm to improve the quality of decryption secret image. In this process, the two secret images from decryption process were compared with the two original secret images. The different values of each pixel, which was counted from subtraction of decryption image and original secret images, will be inserted to the two key images. The experimental results of this improvement have a good similarity. The noise in decryption process can be eliminated so the two secret images reconstruction similar to the original secret images.
利用双密钥图像改进Flip(2,2)视觉密码图像
翻转(2,2)视觉加密(FVC)是一种用于将两个秘密图像加密为两个双重透明的技术。这两个透明度可以发送给客观的人。将两个透明片叠加得到第一秘密图像,将一个透明片与翻转的另一个透明片叠加得到第二秘密图像。但是,结果解密过程中仍然存在噪声,解密后的秘密图像质量与原始秘密图像质量不一致。本文提出了一种提高解密图像质量的新算法。在此过程中,将解密过程中得到的两个秘密图像与两个原始秘密图像进行比较。将解密图像与原始秘密图像相减后得到的每个像素的不同值插入到两个密钥图像中。这种改进的实验结果具有很好的相似性。可以消除解密过程中的噪声,从而重建出与原秘密图像相似的两张秘密图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
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6
审稿时长
16 weeks
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