The idea is simple.
I was going to test if you could ”paint” with genetic algorithms. I thought it would generate good enough approximation to the target image.
That is. I set the score of the genetic algorithm to reflect the image. Then as the score got higher. The solution would get more similar to the target.
What I found was that the solution converged extremely slowly and still looked noisy.
So I wonder. If I do image noise reduction for the intermediate steps. Would the calculation converge quicker and be of better quality?
Example. Several “enfuse – Linux terminal command” stacked images of a image solution.