Here's an interesting trick that can be used to reduce chromatic aberration and noise, but it also means you need to use greyscale.
Basically, the CCD grid in cameras is built like this:
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So, each pixel consists of two green subpixels, one red subpixel, and one blue subpixel. The raw information from these subpixels is then mixed into RGB values for each pixel:
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Now, because there is essentially twice as much green subpixel detectors in the camera, and each pixel's green value is interpolated from the data from two detectors instead of one, the amount of noise on green channel is actually less than the noise in red or blue channels.
If you have a camera that can output RAW images, you could extract only the green channel from them, and use that as a greyscale image.
This is especially handy if you are looking at objects that are already pretty much monochrome (such as the Moon) or if you are looking at low intensity objects and want to stack the images, while minimizing the noise.
This is, incidentally, the reason why practically all scientific astrophotography is actually done with monochrome CCD cameras, with wide wavelength response, and the colours are produced from multiple exposures through multiple filters.
As an added benefit, because of the narrower wavelength range you have from using only the green channel, it should also somewhat reduce colour aberration both from atmospheric refraction and the optics used. Especially with camera optics not designed for astrophotography, you can sometimes get quite a lot of chromatic aberration on the edges of the field of view, especially when using wide field of view. Reducing aperture size of course also reduces chromatic aberration, but also reduces the total amount of light that gets to the sensor.