Adaptive Histogram Equalization (AHE) is a technique used in image processing to enhance the contrast of images. Unlike traditional histogram equalization, which applies a global transformation, AHE works on small regions of the image, called tiles. This allows for better contrast enhancement in areas with varying lighting conditions. AHE improves the visibility of features in images, especially in those with poor lighting. After processing, the tiles are combined to create a seamless image. This method is particularly useful in medical imaging and photography, where detail is crucial for analysis and interpretation.