Sequential Estimation Technique for Enhancement of Noisy Images

A sequential estimation algorithm for the enhancement of noisy images is presented. A set of parameters obtained by a transformation of an autoregressive (AR) model representing the image process, is used for computational advantages. The method presented has an added advantage that it requires no a priori knowledge of the statistics of the noise-free data. Several examples are presented to illustrate the utility of the algorithm.