img = imread('uah_color.jpg');

rgb = reshape(img, [], 3);

i need to count rgb nx3 matrix by row of most occurance color. and pick 256 most common colors to map.

Part 1: Implement and apply the following popularity algorithm to reduce 24bit color images (i.e., *_color.jpg in HW1_sample_images.zip) to 8bit 256 color images 1. Build a color histogram: count the number of times each color appears. 2. Choose the 256 most commonly occurring colors 3. Map original colors in the original (e.g, 24bit) image to the closest chosen color among these popular colors