Blind image restoration based on improved Kalman filter
Xiao-na WAN · Journal of Computer Applications · 2011
To eliminate or reduce the image degradation,the image restoration techniques are often used.In this paper,a new image restoration way was obtained for blind image.Firstly,the Point Spread Function(PSF) of blurred image was estimated by cepstrum.Secondly,the blurred image was restored by the improved Kalman filter.The cepstrum was the way that the PSF of blurred image could be obtained through analyzing the relationship between two parts.One reflected original image,and the other reflected blurred system.The improved Kalman filter took account of the model error of system during the process of estimation.Some digital simulation experiments were done through Matlab.The results using the improved Kalman filter algorithm based on estimated PSF indicate that the proposed method effectively eliminates the impact caused by inaccurate PSF and it has better effects than Kalman filter.