Contrast Enhancement of Digital Images Using an Improved Type-II Fuzzy Set-Based Algorithm

Contrast is a distinctive image feature that tells if it has adequate visual quality or not. On many occasions, images are captured with low-contrast due to inevitable obstacles. Therefore, an improved type-II fuzzy set-based algorithm developed enhance the contrast of various color and grayscale properly while preserving brightness providing natural colors. The proposed utilizes new upper lower ranges, amended Hamacher t-conorm, transform-based gamma correction method provide enhanced images. assessed artificial real distorted images, compared twelve specialized methods, outcomes evaluated using four advanced metrics. From obtained results experiments comparisons, demonstrated ability process performed best among comparative scored in all evaluation findings this study significant because low-complexity can adjust different expeditiously, which enables be used imaging modalities especially those limited hardware resources produce high-resolution