基于三通道脉冲皮质模型的彩色图像认证方法

Guangjie Kou, Yunyan Ma
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引用次数: 2

摘要

随着互联网等非安全渠道在数字图像传输中的应用越来越广泛,图像认证技术对多媒体应用的数据完整性具有重要意义,近年来受到了广泛的关注。本文从哺乳动物视觉皮层神经元模型的工作原理出发,提出了一种基于三通道峰值皮质模型(TSCM)的基于内容的彩色图像认证数字签名方法。在该方法中,我们使用TSCM生成的数字签名作为彩色图像的认证信息。对于局部直方图法或局部平均强度法无法验证的篡改图像,由于TSCM的特征不仅包括图像的强度或颜色信息,还包括图像的几何结构或颜色分布,因此该方法可以对篡改图像进行正确的验证。实验结果表明,该方法不仅可以检查彩色图像的有效性和完整性,而且可以定位被篡改图像中的被篡改区域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Color Image Authentication Method Based on Triple-Channel Spiking Cortical Model
With the increasingly use of non-secure channels such as the Internet to transmit the digital images, image authentication techniques have recently gained great attention due to its importance for data integrity of multimedia applications. This paper introduces a new digital signature method to content-based color image authentication based on a Triple-Channel Spiking Cortical Model (TSCM), which is inspired by the working principle of mammalian visual cortex neuron model. In this method, we use digital signatures produced by TSCM as color image authentication information. Some juggled images failed to authenticate by using local histogram method or local mean intensity method can be authenticate correctly by this method, because the signature of TSCM includes not only the intensities or color information but also the geometry structures or color distributions of the color images. Experiment results show that this method can not only check the validity and the completeness of the color image, but also locate the juggled areas in the juggled image.
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