Abstract: In this paper we describe how a recently developed model for image representation based on polynomial transforms can be applied in image restoration. Two related algorithms for noise reduction in Computed Tomography (CT) images are presented. They show the efficiency of the model to detect and restore edges embedded in noise by adapting the amount of noise reduction to the local image content in a multiresolution fashion. A subjective evaluation of the noise reduction techniques is used to optimize the parameter values of the algorithms. Results of this evaluation are presented.!21
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