摘要
该文描述了利用帐篷函数的混沌过程生成类噪声索引的一般方法,给出了类噪声混沌编码记忆的数学模型,同时说明了循环卷积和循环相关运算在图像信息存储和恢复中的基本机理。仿真实验表明:利用循环卷积和循环相关运算,图像可以从类噪声混沌编码的单模式和双模式中正确地回忆出来,并且最终回忆图像与原始存储图像有一定的位移量。
A general methodology of key-generation of noise-like by use of chaotic process of tent-map function is described in this paper, a mathematics model of noise-like chaotic coding memory is constructed, meanwhile the basic mechanism of circulant convolution and circulant correlation in image information storage and retrieval is demonstrated. Simulation experiments show that image can be correctly recalled from single-pattern and double-pattern of noise-like chaotic coding by use of circulant convolution and circulant correlation operation, and there is a displacement between the last recalled image and the prototype image.
出处
《电子与信息学报》
EI
CSCD
北大核心
2002年第6期805-810,共6页
Journal of Electronics & Information Technology
基金
国家自然科学基金(60075008)和(60102010)
关键词
图像联想记忆
类噪声
混沌编码
Noise-like, Chaotic coding, Circulant convolution, Circulant correlation, Image storage and retrieval
