An efficient visually meaningful image encryption using Arnold transform

V. Manikandan, V. Masilamani
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引用次数: 14

Abstract

Image encryption is a quite well-developed area of multimedia security which helps to protect the confidentiality of authorized users' image content by converting it into an incomprehensible form. Most of the image encryption algorithms will generate encrypted images with noise-like or texture-like contents. Hence it's easy to distinguish natural images from encrypted images. The chances of attacks and image analysis by malicious people are more on images with noise-like or texture-like contents. This paper presents an efficient visually meaningful image encryption algorithm that uses integer discrete wavelet transform(DWT) and Arnold transform. The central idea of proposed scheme is to use a reference image to hide the original image in its encrypted form. Arnold transform has been used to transform the encrypted original image content before inserting it into the wavelet sub-bands of the reference image. The final encrypted image will look similar to the reference image, and the original image can be extracted and decrypted by an authorized person who has the valid decryption and data hiding key.
一个有效的视觉上有意义的图像加密使用阿诺德变换
图像加密是多媒体安全的一个相当发达的领域,它通过将授权用户的图像内容转换为不可理解的形式来帮助保护其机密性。大多数图像加密算法都会生成带有类噪声或类纹理内容的加密图像。因此,很容易区分自然图像和加密图像。恶意人员攻击和分析图像的机会更多地集中在具有噪声或纹理内容的图像上。本文提出了一种基于整数离散小波变换和阿诺德变换的图像加密算法。该方案的核心思想是使用参考图像来隐藏加密形式的原始图像。在将加密的原始图像内容插入参考图像的小波子带之前,使用阿诺德变换对其进行变换。最终的加密图像看起来与参考图像相似,原始图像可以由拥有有效解密和数据隐藏密钥的授权人员提取和解密。
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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