Variational Image Deblurring Using Modified Hopfield Neural Network

摘要：

We address the problem of variational image restoration by neural network in this paper. A variational image deblurring algorithm based on Modified Hopfield Naural Network (MHNN) is proposed. Then we analyze the convergence of the deblurring algorithm and give a strategy to guarantee the algorithm to converge stable state. Comparative experimental results show that the proposed algorithm is favorable to other related algorithms.

作者: Zhang Hongying Peng Qicong Wu Yadong

作者单位: School of Communication and Information Engineering University of Electronic Science and Technology School of Computer Science and Engineering University of Electronic Science and Technology of China

会议类型: 国际会议

会议名称: 2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)

会议地点: 广西桂林

会议语种:英文

页码: 429-432

在线出版日期: 2006-06-25（万方平台首次上网日期，不代表论文的发表时间）