Adaptive Contrast Enhancement using Fuzzy Logic
Shane Fernandes, Anish Shetty, Harin Vashi, Vishakha Kelkar · 2019
Contrast enhancement in digital image processing is application-specific and the measure of the quality of the image is subjective. Hence, the interpretation of an image with good contrast differs from one individual to another. Various contrast enhancement methods have been developed such as contrast stretching, histogram equalization, homomorphic filtering, etc. This paper presents an adaptive contrast enhancement technique using fuzzy logic. Fuzzy logic has been observed to be very effective at managing data that is ambiguous and vague in nature. As contrast can also be considered a vague term, fuzzy logic can be effectively used to amplify the contrast of an image. We have established an adaptive fuzzy inferencing system which determines the pixel value of the output based on the contrast measure of the input image. The contrast measure selected is the standard deviation of the image. The experimental results have been compared with existing methods of contrast enhancement and have been assessed both visually and quantitatively.