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大容量图像的隐藏优化算法仿真分析 被引量:1

Hidden Optimization Algorithm Simulation Analysis of Large Capacity Images
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摘要 在大容量图像中隐藏隐秘数据,是保证隐秘数据安全的重要手段。传统的隐秘数据在大容量图像中的隐藏效果不理想,难以保证隐秘数据的安全,提出一种改进方向调整的大容量图像的隐藏方法。将大容量图像划分为若干个像素组,每组包含若干像素,将隐秘数据转换为二进制数字的形式,然后进行分段,将每段隐秘数据隐藏在每个像素组中,隐藏结束后,利用Amold进行反置乱,并能够将置乱后的像素恢复到原来的位置,生成载密图像,从而实现了隐秘数据在大容量图像中的隐藏。仿真结果表明,利用改进算法进行隐秘数据在大容量图像中隐藏,提高了隐藏容量,载密图像的安全性更高。 Hiding secret data in large volume images is an important means to ensure the security of secret data. The hiding effect of traditional secret data in the large volume images is not ideal, it is difficult to guarantee the secur- ity of secret data. A hiding method for large volume images was proposed based on improved direction adjustment. Firstly, the large volume image was divided into a number of pixel groups, and each group contains a number of pix- els. Then the secret data were converted to binary digit form, and then to be segmented. Each section of secret data was hided in each pixel group, after the end of hiding, the anti-scrambling was carried out with Arnold, and the pix- el after anti-scrambling can be restored to the original position, to generate the secret loaded image. Simulation re- suhs show that the improved algorithm can improve the hiding volume, and the safety of secret loaded image is higher.
出处 《计算机仿真》 CSCD 北大核心 2016年第3期409-412,共4页 Computer Simulation
基金 基于人类视觉的图像完整性认证技术研究(132102210516)
关键词 大容量图像 隐藏 隐秘数据 Large capacity images Hidden Secret data
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