Revolutionize image enhancement with Cumulative Histogram Equalization!
Image enhancement techniques aim to improve image quality for human viewers or image processing systems. This study compares two methods of enhancing images: histogram equalization and cumulative histogram equalization. The researchers explored different approaches to histogram equalization, which efficiently enhances images. Key methods include histogram expansion, local area histogram equalization, cumulative histogram equalization, par sectioning, and odd sectioning.