In the Dark

5 Responses to “Random Image”

1. 

   udoli Says:
   September 10, 2017 at 3:08 pm

   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.
   :=)

   Reply
2. 

   mikepeel Says:
   September 10, 2017 at 8:19 pm

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

   Reply
   • 

     telescoper Says:
     September 10, 2017 at 9:06 pm

     I didn’t say it was Gaussian! (It isn’t..)

     Reply
3. 

   William J. Hunter Says:
   September 10, 2017 at 8:52 pm

   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.

   Reply
4. 

   Chris Brunt Says:
   September 11, 2017 at 10:21 am

   asymmetric Levy noise?

   Reply