Histogram Equalization is a technology used to enhance images, commonly seen in medical imaging and computer vision. It can be divided into global and local methods, with variations like traditional, bi-histogram, and multi-histogram equalization. The technology can also be based on space or frequency domains, and applied to gray or color images. This summary outlines the different methods of histogram equalization, discusses how to measure its effectiveness, and suggests areas for future research in this field.