A Novel Color Image Filtering Algorithm-Based on Gray Scale Space Extremum-median Filter

The imitated gray scale space extremum-median filter (IGSSEM) algorithm was proposed to aim at the difficulties existent in the improved extremum and median filter (IEM) algorithm processing color images. This algorithm keeps the characteristic which is reduce the possibility of mistaking the signal pixels for noise pixels, the more appropriate method is used to detect noise pixels. At the same time, when noise pixels are more than half of the total pixels, the standard median filtering algorithm can not resolve it. The algorithm which used imitated gray scale transform to ascertain noise spot obviate the problem of noise prescient judgments. Experimental results show that when the density of noise is high, the algorithm proposed in this paper not only keeps more color image details than IEM filter algorithm, but also more convenient in color image processing.