3 ms·

I consider this thesis one of the best works on dither and noise shaping (error diffusion is just another name for noise shaping): http://uwspace.uwaterloo.ca/b

• vanderZwan 7y ago
  Looks like a great resource! It seems mostly focused on one-dimensional cases, based on a quick skim, so that would take some time to grok and "translate" to 2D images, but it looks like it's full of in-depth theory and other useful information to make sense of what I'm experimenting with. Thanks!
  • nullc 7y ago
    The generalization to 2D is relatively straight-forward. My own interest in the subject has mostly been 1D signals which might also serve to explain my affection for that thesis... but it really is much easier to understand first in 1D.
• vanderZwan 7y ago
  Me after skimming to page 60 our of 120: "Oh, an image! And the title actually says it's about images. So I guess the rest is just prep-work! Probably exactly what I'm looking for then!" Thanks again