Edge Preservation at the Image Restoration of Noise Degraded Images Using Kalman Filter

概要

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The purpose of this work is to materialize real time restoration of the image degraded by signalindependent Gaussian noise. A new method proposed here is based on one-dimensional recursive estimator known as the Kalman filter to reduce processing time. This method is a kind of nonlinear smoothing filter which preserves the sharpness of edge images. Because the noise at the edge is not conspicious, the estimated value at a pixel is regarded as the observed value at the pixel if the difference between the estimated and the observed values is larger than the standard deviation of noise. This new filter preserves sharpness of image better than ordinary smoothing method.
Medical Imaging and Information Sciencesの論文