Color Quantization is a process used in digital imaging to reduce the number of distinct colors in an image. This technique simplifies the image by grouping similar colors together, which helps in reducing file size and improving processing speed. It is commonly used in applications like image compression and computer graphics. The main goal of color quantization is to maintain the visual quality of the image while minimizing the color palette. Various algorithms, such as K-means clustering and Median Cut, are employed to determine which colors to keep and which to merge, ensuring that the most important colors are preserved for display.