First off, thanks for setting me straight on the myth... Of course you are correct.
But now, back to something related to the mis-registration topic... The following pic is a screen grab from the central region of an image, split from the Bayer matrix into separate R,G,B images. As you can see, the mis-registration effects really aren't mis-registration at all, per se. Rather the focus of the image is best in the G channel, and gets worse to either side, with R showing the worst behavior.
I have tried repairing the R image with Deconvolution, though I'm a bit unclear whether that synthetic PSF is the target for cleanup, or the estimated blur function in the dirty image. I need to run some tests on synthetic delta functions to see better. At any rate Deconvolution didn't help very much, no matter what parameters I gave.
Unsharp masking in the R channel was better, but too severe, and tended to leave red halos as a result of the de-ringing.
What finally seemed to help a bit was mere morphological Erosion. That seems a bit grotesque to me, but I probably shouldn't take umbrage at such things since my sensor is hardly linear anyway.
But here is my question. I see from the individual channels that my focus is about as good as it can get, perhaps a bit more to the red side would help. But neither the red nor blue will be in focus when the green channel is best. Do you more experienced imagers forego such things as OSC's in favor of monochrome sensors and filter wheels? Is trying to use an OSC a joke?
Or maybe OSC's are okay, provided you don't look too closely? But the effect of these defocusings is to cause a green or red cast to the image as a whole, that does not seem undone by image background uniform-izing and color calibration. Numerous fainter stars have ruddy halos, and the really faint ones in the background are green.
- DM