Adaptive histogram equalization

Adaptive histogram equalization (AHE) is an image processing technique that improves the contrast of an image by adjusting the brightness levels in small sections, or tiles, rather than the entire image. This allows for better visibility of details in both bright and dark areas, especially in complex images. Unlike standard histogram equalization, which applies a uniform adjustment throughout, AHE adapts locally, enhancing features without over-amplifying noise. This makes it particularly useful for revealing details in images with uneven lighting or varying contrast, such as medical images or satellite photos.