#529 - imposing isotropy or at least N-fold symmetry on correlated noise

This pull request is for some small additional functionality in the handling of correlated noise, which is parallel to the whitening functionality that was already in place but involves imposing N-fold symmetry on the noise (without making it white).  Here N is some even integer >=4, with the default choice being 4, likely the lowest order of symmetry necessary to avoid weird shear systematics due to anisotropic correlated noise.

In general, the amount of noise that has to be added is substantially less than what has to be added to make correlated noise in COSMOS images fully white.  So that would be the main motivation for doing this instead of whitening.

Based on some discussion on #529, the ```applyWhiteningTo()``` method has been changed to ```whitenImage()```, parallel to the new ```symmetrizeImage()``` (though ```applyWhiteningTo()``` still works for now).   Mike put the new symmetrizing option into config, and moved the existing whitening option in config from being an attribute of the real galaxies to being specified at the same time as the noise in the final image.  (Mike, should we update the config wiki once this is merged?  Or did we decide the wiki was going to correspond to the latest tagged version?)

@emhuff , this should be helpful for you...
I know it was me who suggested the name symmetrizeImage, but coming back to it now, doesn't it sounds like this function will make the image symmetrical?  Rather than making the noise profile symmetrical.  I'm not sue what the best name is, but I'm just asking to reopen the brainstorming about this point.

The way-too-long-but-accurate name is probably `noise.symmetrizeNoiseInImage(image)`.  Perhaps `symmetrizeNoise` is accurate enough with the `image` argument indicating that we are talking about the noise in the image, not the noise profile of the calling object.

Or, perhaps we should follow the pattern we adopted for `noise.applyNoiseTo(image)` and `image.addNoise(noise)`.  We could prefer versions that look like `image.whitenNoise(noise)` and `image.symmetrizeNoise(noise)`.

Any preferences?  Or other ideas?  Sorry to keep waffling about this API.