Image Enhancement Using MamdaniFuzzy Inference System

—Image enhancement means to improve the quality of the images for better human perception. The impulsive noise can be reduced and also by using different image enhancement techniques edges of the images can be sharpened. The quality of the original image is increased for better analysis by a human or a machine by using image enhancement technique. One of the image enhancement techniques is fuzzy image enhancement. Fuzzy logic deals with studying of possibiliticlogic or several valued logic, it uses approximation rather than fixed and exact reasoning. It handles partial truth, where the truth values may either be in between of completely true values or completely false value. Fuzzy image processing is considered important application areas of fuzzy domain. The purpose here is to increase the contrast of the original image using triangular membership function and fuzzy rules from Mamdani fuzzy inference system. Edge detection of the original image is done and by using triangular membership function image is converted to fuzzy plane from pixel plane. Fuzzy rules are applied on the original image and defuzzification is done on the same to get the enhanced image. For enhanced image Mean Square Error (MSE) and Peak Signal to Noise Ratio (PSNR) has been calculated. The implementation work will be done using MATLAB 7.5 image processing tool box.