An Improved Method of Adaptive Fuzzy Image Enhancement
Shaoda Li · 2007
An effective fuzzy method for image enhancement was presented by Russo, in which the effectiveness was controlled by a given parameter. That method was far from being satisfied since the gray values in different image areas were varied while the parameter were fixed. For better noise filtering effectiveness, an improved method of adaptive fuzzy image enhancement is presented by this paper, which sets the parameters through the area-specific information. This improved method first calculates the difference between gray values of every pixel and the average of its neighborhood. Based on which noise rate was allotted to every pixel. The parameter was finally obtained adaptively by means of the noise rate. This method was proved effective in image noise filtering while losing no detailed image information. An experimental study showed that this method, much improved in comparison with Russo’s method, was superior to any other commonly adopted ones.