A Comparison of Noise Cleaning Techniques

Abstract
A variety of noise cleaning techniques are compared on two test pictures. All of the techniques tested are based on local analysis of a small neighborhood of each pixel. They include median and mode filtering; selective local averaging or weighted averaging schemes of various sorts; and Kalman filtering. Iterated weighted averaging and iterated median filtering were judged to give the best overall performance.

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