Overview

The goal of this project was to enhance the histogram equalization method for image processing. Histogram equalization is a technique used in digital image processing to improve the contrast in images. The primary objective was to optimize this method to more effectively distribute the intensity levels of an image, thereby utilizing the full spectrum of available intensity values. This improvement is especially beneficial in cases where images have areas of low contrast, allowing for the amplification of details in both overexposed and underexposed photographs. The refined histogram equalization method also contributes to clearer imaging in medical applications, such as providing enhanced visualization of bone structures in X-ray images.