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Histogram equalization can be categorized into several types, including global histogram equalization, local histogram equalization, and adaptive histogram equalization. Global histogram equalization applies a uniform transformation across the entire image, enhancing overall contrast. Local histogram equalization, on the other hand, operates on small regions or windows within the image, allowing for better detail enhancement in areas with varying illumination. Adaptive histogram equalization, such as CLAHE (Contrast Limited Adaptive Histogram Equalization), further refines this approach by limiting the contrast to avoid noise amplification in homogeneous areas.

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