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fire67

What are Jittering and Dithering

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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 !

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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 ?

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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.

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