Coding Example: Blue Noise Sampling

The case study discussed in this lesson is based on a study related to the Starry Night painting called "Blue Noise Sampling". Let's learn what is it about!

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Problem Description

Blue noise refers to sample sets that have random and yet uniform distributions with absence of any spectral bias. Such noise is very useful in a variety of graphics applications like rendering, dithering, stippling, etc.

Many different methods have been proposed to achieve such noise, but the most simple is certainly the DART method.

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