A new detection method of halftone images based on crisscross checking technique

Tung-Shou Chen, Jeanne Chen, Yu-Mei Pan
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引用次数: 3

Abstract

The rapid advancement in digital technological is increasing demand for products with digital data functionality. Digital data are easily distorted or tampered with. Therefore, providing protection from distortions or to authenticate poses a great challenge to information security and image processing. We propose a crisscross checking technique for halftone images. The host image is divided into row and column blocks from which scrambled code-blocks will be generated. The MD5 and RSA algorithms will be applied to code-strings containing code-blocks to generate encrypted sign messages. These messages will be hidden in the blocks. During the detection process, the row and column blocks will be checked for these messages. A block will be marked as tampered when an error bit is located.
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一种基于交叉检测技术的半色调图像检测新方法
随着数字技术的飞速发展,对具有数字数据功能的产品的需求越来越大。数字数据很容易被扭曲或篡改。因此,如何防止图像失真或对图像进行认证对信息安全和图像处理提出了很大的挑战。我们提出了一种半色调图像的交叉检查技术。主机映像被分成行块和列块,从中生成加密代码块。将MD5和RSA算法应用于包含码块的码串,生成加密的签名消息。这些信息将被隐藏在积木中。在检测过程中,将检查这些消息的行和列块。当一个错误位被定位时,一个块将被标记为被篡改。
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