Random Image

No time for a proper post today so here’s a random* picture made by my student, Will..

*In some sense…

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5 Responses to “Random Image”

  1. In the RGB space with values of the colors ranging from 0 to 255 all the points of your picture are generated on the plane defined by points Red=[255;0;0], Blue=[0;0;255], White=[255;255;255]. But they are not generated uniformly – the vicinity of the white vertex is strongly preferred and the red side of the triangle is preferred to the blue one.
    :=)

  2. It might just be the colour scale, but that doesn’t look quite Gaussian…

  3. Hello, I am the Will of which Peter speaks. The noise map here isn’t Gaussian noise it’s noise sampled from a uniform distribution (for the purposes of testing my power spectra routines it didn’t matter). The way the figure looks is due to sampling of the RGB colourspace of 10^7 points. A lower resolution figure of this, 10^4 points, you can see even RGB sampling. Also low & high res noise maps sampled from a Gaussian distribution look… well… Gaussian.

  4. Chris Brunt Says:

    asymmetric Levy noise?

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