Okay, but in the examples in the first link, standard error diffusion (Floyd-Steinberg and Jarvis-Judice-Ninke) still preserves more fine detail than the blue noise method. They only have the disadvantage of creating some line artifacts for gradients into pure white or pure black.

It would have been interesting if the author did additionally apply a low pass (Gaussian blur) filter to all the result images, not just to one homogeneous one in the beginning.