We used to have a saying in CSIRO that one mans noise is another mans signal.
There are a few things happening here. In any system the noise will modulate any signal that is at about the same magnitude. Colour noise is far more visible even at lower levels. There are evolutionary reasons for this. If your superior colour vision allows you to see your prey or predator before they see you, a meal or survival was the result.
Mike's system is exquisitely sensitive and for ground based optics about as good as it gets for real resolution which is generally limited by the seeing.
Here is an animated gif I made from Mikes images. 3MB.
Click on the image to see it full size at that position.
http://d1355990.i49.quadrahosting.co...10_08/ms1g.gif
Image one is from the B&W image.
Image two from the full size colour image
Image three from the full size colour image stretched to emphasise the background 'noise'.
The jpg compression would have added noise to the images I used. I also upsized the images to get back a bit of the original resolution.
See image below which was also enhanced. This also enhances the 'noise'.
If you look carefully you will see obvious signal in the B&W image that then looks like noise in the colour images.
There is noise there as there is in any image. If I cannot see noise in an image then a bit of clipping has been done and real faint signal lost.
So in the end there is no real argument just semantics as to what is noise in an image.
In order to improve our images we need to sort real signal from real noise. Not just eliminate 'noise' and lose faint signal that is real.
Oh yeah very nice image Mike.
Bert