A Robust Variable Length Nonlinear Fi Smoot Iter for Edge Enhancement and Noise ?ing
R.L. Kashyap · 1994
Most of the recent work in nonlinear order statistic filters has focused on smoothing and preserving the details in digital images. However, in many image analysis and computer vision applications, where edges are being used as primary features, edge enhancement becomes an essential attribute of preprocessing filters. Moreover, the human visual system is also very sensitive to this feature. Majority of the most frequently usedfilters, such as median and its extensions, do not posses this property. As a matter of fact median filters tend to preserve any monotonic degradation of the edge and therefore, are not capable of enhancing blurred or ramp edges. In this paper we present a variable length robust nonlinear filter which has the capability to both sharpen the edges and smoothing out the noise. Experimental results on real images are also provided.