1994 Volume 7 Issue 8 Pages 312-321
This paper discusses signal characteristics of a two-dimensional image transformed into frequency domain by using an adaptive digital filter (ADF). System identification using ADF is applied to the image data analysis in each frequency area. ADF determines the system parameters of the image signal. An adaptive Kalman filter which uses the system parameters adaptively obtained from ADF is proposed to restore a noise-contaminated image. The adaptive Kalman filter with the system parameters proposed in this paper contributes the image restoration. A smoothing image by an ε-filter is used to identify the system parameters in order to apply the adaptive Kalman filter. The ε-filter combined with the adaptive Kalman filters is proposed to improve the performance of the noise reduction of the image. Experimental results show that the proposed method has advantages for image restoration.
