基于光学信息处理技术的图像信息隐藏算法

Image information hiding algorithm based on optical information processing technology

信息隐藏是保证图像中重要信息的关键技术,针对当前像信息算法存在对噪声鲁棒性、图像视觉质量低等缺陷,提出一种基于光学信息处理技术的图像信息隐藏算法。首先原始图像进行细分,得到不同大小的子块,并待隐藏的重要信息置乱处理,然后利用灰色关联分析估计不同子块的关联度,并通过状态回声神经网络预测重要信息确定嵌入强度,最后采用多个评价指标对图像信息隐藏算法的综合性能进行评价。结果表明,本文算法可使隐藏信息后的图像具有良好的视觉透明性,可以抵抗各种噪声的干扰,嵌入重要信息的容量大,是一种保护信息安全的重要工具。

Information hiding is the key technology to ensure important information in images. Aiming at the defects of current image information algorithm,such as noise robustness and image visual quality,a new image information hiding algorithm based on optical information processing technology is proposed. Firstly,the original image segmentation,get different sub blocks,and important information hidden scrambling processing,then using grey correlation analysis to estimate the correlation of different sub blocks,and the echo state neural network to predict the strength of the embedded watermark information,finally using multiple evaluation index to evaluate the comprehensive performance of image information hiding algorithm the. The results show that the algorithm can make the hidden information images have good visual transparency,resist all kinds of noise interference,and have large capacity to embed important information,which is an important tool to protect information security.