In this paper a digital image processing method for removing noise from still and moving grey-value pictures is presented and its performance is investigated. The method consists of replacing a particular noisy pixel by a weighted average of pixels in some standard neighborhood of the pixel. In case of a single still picture the neighborhood has two spatial dimensions, while for sequences of pictures, neighborhoods with an additional third (time) dimension are used. With the aid of edge detectors in various directions a king of contour plot is constructed which indicates to what extent a pixel of the standard neighborhood belongs to the same region as the pixel being restored. This contour plot is converted into a set of weight coefficients of a transversal filter. The performance of the method is assessed in terms of gain in signal-to-noise ratio (S/N-ratio) and by visual inspection.
|Number of pages||14|
|Journal||Acta Electronica Paris|
|Publication status||Published - 1985|