A project by Ihab Mokayed

A combination of photography, art, and science, showcasing a representation of colors in the image

that displays how the pixels are partitioned into groups.


1. Using advanced color grading techniques to try and achieve the best results on an image.

2. Each image is then analyzed using 'The Image Color Summarizer', a tool developed by the scientist 'Martin Krzywinski'.

3. The color summarizer will produce descriptive color statistics for the image.

4. The pixels in the image are separated to create color clusters and data.

5. Color clusters and selected data are then added using minimalist design to the image.

6. A palette of 5 cohesive colors is then created, based on artistic grading and scientific data analysis.

Download Color Palettes