• Advertisement
Sign in to follow this  

What are Jittering and Dithering

This topic is 437 days old which is more than the 365 day threshold we allow for new replies. Please post a new topic.

If you intended to correct an error in the post then please contact us.

Recommended Posts

Hi there,

 

I've heard a lot about jittering and dithering but I would like to know more about thise techniques. Here are some general questions that might also be useful to others :)

  • What are the differences between both ?
  • When are they used the most ?
  • What's the best way to implement them, any algorithm example ?
  • Can we combine them ?

Thanks a lot !

Share this post


Link to post
Share on other sites
Advertisement

Thanks for the answer @Hodgman ! :)

 

We talk very much about blue noise those days, this noise type can be used to jitter samples locations, right ? Are there other general and efficient jittering technics (ie : Poisson sampling) or does this depends on the situation.

Are there some very efficient dithering patterns ?

Share this post


Link to post
Share on other sites

There is an important difference between the two types of intentional noise: jittered sample locations are meant to be misaligned with any pattern in the sampled data, so that the average of the sampled values is a good lowpass filter without inappropriate bumps in the frequency response; dithered sample values are meant to approximate an intermediate true value that cannot be represented exactly with the average of multiple samples, thanks to a procedure that rounds sampled values up or down with the appropriate probability.

Share this post


Link to post
Share on other sites
Sign in to follow this  

  • Advertisement