An improved fuzzy image enhancement by adaptive parameter selection

An effective method for contrast enhancement in an image was presented by Russo, which was controlled by the trial-and-error tuning of one parameter. The same parameter was used for the entire image resulting in over blurring or sharpening of features in some parts of the image. In this paper, we apply Russo's algorithm on impulse noise and propose an efficient method for obtaining the parameter value adaptively. Each pixel location is adaptively assigned a different parameter value by evaluating the local features. Results of the proposed method are compared with those of Russo's original method and with results of other methods for sharpening of image features. Experimental results have shown that the proposed approach has improved Russo's work and performs better than other techniques for the enhancement of images corrupted with impulse noise.