Color Quantization -- Using K Means Clustering

In simpler terms, it is the quantization of color spaces. Color spaces are a way to characterize the shade channels existing in the photo that offers the photograph that precise hue. This is a useful image compression technique which is quite useful for devices that can show a limited number of colors due to memory restriction. Each image can be represented by three features: the R, G and B values for each pixel. Given that our image has pixel values ranging from 0 to 255, we can say that each image has 256 * 256 * 256 colors. Our goal now is to reduce the number of colors to a manageable number.