Blind image deblurring with independent component analysis
基于独立成分分析的盲目图像反降晰

The relation between blind image deblurring and Independent Component Analysis(ICA) was demonstrated.Two ICA methods for image deblurring,FastICA algorithm and On-Line Stochastic Gradient(OLSG) algorithm,were compared.It was found that FastICA algorithm was less effective than OLSG algorithm for image deblurring.Experiment results show that blind image deblurring with ICA cannot depress the noise.In the end,the merits and defects of the method were concluded and the directions for further research were put forward.