计算机工程与应用2018，Vol.54Issue(9)：201-206,6.DOI:10.3778/j.issn.1002-8331.1611-0405
基于混合神经网络的图像复原方法
Image restoration based on hybrid neural network
摘要
Abstract
Aiming at the problem that the traditional image restoration method is dependent on the prior knowledge of degenerated image,a new image restoration method based on hybrid neural network is proposed.The hybrid neural net-work is composed of Convolutional Neural Network(CNN)and BP network.Firstly,the preliminary nonlinear mapping relationship between degenerated image and clear image is established by training CNN.After then,the trained convolu-tional neural network model is utilized to extract feature vector as the input of BP neural network.Finally,the blurred image can be restored by the trained BP neural network.Numerical experiments show that this method is feasible,and has a satisfying restoration effect than the existing methods.关键词
图像复原/混合神经网络/卷积神经网络/映射关系/反向传播(BP)神经网络Key words
image restoration/hybrid neural network/Convolutional Neural Network(CNN)/mapping relationship/Back Propagation(BP)neural network分类
信息技术与安全科学引用本文复制引用
兰妙萍,李朝锋..基于混合神经网络的图像复原方法[J].计算机工程与应用,2018,54(9):201-206,6.基金项目
国家自然科学基金(No.61170120). （No.61170120）
