Content-based Algorithm for Color Image Enhancement Using Fuzzy Technique
Fuzzy technique offers interesting and challenging frame for developing new methods in the field of image processing. Nowadays, enhancing color images is considered as one of such demanding work in image processing. This paper introduces the nonlinear and knowledge-based behavior of fuzzy technique to enhance color images referred as ‘content-based algorithm.’ The resulting image not only exposes the fine details but also enhances the images by processing the approximate components of the image in human visual system with content-based algorithm in fuzzy domain. The knowledge-based characteristics of both ‘fuzzy technique’ and ‘color’ coincide effectively to get better experimental results in this field. Also, the subjective and objective evaluations listed over here show that this algorithm performs better than any other existing fuzzy and non-fuzzy approach.
KeywordsContent-based algorithm Pattern recognition Histogram equalization Fuzzification Transformation Defuzzification
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