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光子学报 2009
Color Image Enhancement Based on Nonlinear Weighted Optimal Fuzzy Cluster
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Abstract:
A color image enhancement method,based on nonlinear weighted optimal fuzzy cluster processed in HSV color space,was proposed according to human eyes′ perceptual characteristic to color in daily life.The original color image was converted from RGB to HSV color space and the H,S,V components were extracted.Only V component was made to nonlinear weighted optimal fuzzy cluster.The enhancing process was finished after synthesis the H,S,V components and return to RGB space.Experiment result shows that this algorithm can avoid color distortion,and improve the color resolution and scenery definition.