Adaptive parameter selection for improved fuzzy image enhancement
H.S. Kam, Wooi-Haw Tan · Computer Graphics, Imaging and Visualization · 2004
Previously, an effective parameter controlled method for noise reduction and sharpening of images corrupted by Gaussian noise was presented. However, the same parameter value was used for the entire image resulting in excess smoothing or sharpening of image features. In this paper, we adapted that method for impulse noise reduction and propose an efficient means to obtain the parameter value adoptively. After evaluating pixel local features through a fuzzy membership, each pixel location is assigned a different parameter value. Results of the proposed method are compared with the previous method and with results of other methods for sharpening of image features. Experimental results indicate that the proposed method has effectively assigned the parameter values, yielding superior performance.