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应用Hopfield神经网络优化最大熵的图像恢复算法
引用本文:丁卫平.应用Hopfield神经网络优化最大熵的图像恢复算法[J].湖南理工学院学报,2011(1).
作者姓名:丁卫平
作者单位:湖南理工学院数学学院;
基金项目:湖南省教育厅基金项目(10C0753)
摘    要:基于图像最大熵分析,提出了一种基于Hopfield神经网络优化的图像恢复算法.将图像恢复问题转化为Hopfield神经网络优化问题,取恢复图像熵函数最大以及原始图像与恢复图像之间的误差平方和最小作为图像恢复的目标,构造能量函数连续型Hopfield神经网络模型,由Hopfield神经网络能量函数极小化可得到问题的优化解,其算法通过仿真实验,验证了算法的优越性.

关 键 词:Hopfield神经网络  最大熵  图像恢复  

Maximum Entropy Image Restoration Algorithm Based on Hopfield Neural Network Optimization
DING Wei-ping.Maximum Entropy Image Restoration Algorithm Based on Hopfield Neural Network Optimization[J].Journal of Hunan Institute of Science and Technology,2011(1).
Authors:DING Wei-ping
Institution:DING Wei-ping(College of Mathematics,Hunan Institute of Science and Technology,Yueyang 414006,China)
Abstract:Based on the analysis of maximum entropy for image,a solution algorithm for the image restoration problem is presented based on the Hopfield neural network optimization.We viewed image restoration from projections as Hopfield neural network energy minimization problem by selecting two criteria as the optimization objection of reconstruction problem,which is maximum of image entropy and minimization of squared error between the original image and restorative image due to the image restoration.And a Hopfield ...
Keywords:Hopfield neural network  maximum entropy  image restoration  
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