计算机应用研究2012，Vol.29Issue(3)：1143-1145,3.DOI:10.3969/j.issn.1001-3695.2012.03.094
基于Fourier神经网络的图像复原算法
Image restoration algorithm based on Fourier neural network
摘要
Abstract
According to the fact that PSF ( point spread function) of the degraded image can' t obtain accurately, this paper constructed a feed-forward neural network for image restoration based on the Fourier orthogonal function. The hidden-layer neurons were activated by a series of Fourier orthogonal functions, updated its weight by the error back-propagation training algorithm and finally reached convergence target. This paper applied the Fourier neural network and its hidden-neuron growing algorithm to recover the fuzzy image. Experiments show they have better performances on image restoration.关键词
图像复原/傅里叶正交基函数/傅里叶神经网络/衍生算法Key words
image restoration/ Fourier orthogonal function/ Fourier neural network/ hidden-neuron growing algorithm分类
信息技术与安全科学引用本文复制引用
田启川,田茂新..基于Fourier神经网络的图像复原算法[J].计算机应用研究,2012,29(3):1143-1145,3.基金项目
山西省自然科学基金资助项目(2008011030) （2008011030）
山西省回国留学人员科研资助项目(2011-075) （2011-075）
太原市大学生创新创业专项项目(2010,2011) （2010,2011）
太原科技大学校UIT项目(J2010040) （J2010040）
