Show HN: Colorful Images with Uniform Grayscale Values

1 point

2 years ago

Normally, when you convert a color image to grayscale, you can still recognize the image. But what if you could keep the image’s color while making it convert to a uniform gray?

This project explores an algorithm that takes an RGB image and adjusts it so that it appears visually similar in color but turns into a single shade when converted to grayscale. The method uses color-space math to preserve hue while adjusting brightness and saturation, resulting in unique images with hidden uniformity. It touches on color theory, the RGB and HSV color spaces, and some linear algebra. Check out the code and math behind this experiment!