I use several different cameras:
A Connectix QuickCam - original model, bought
in 1997
A Creative Webcam II - color camera, bought in 1999
A QuickCam VC - colour camera_bought in 2001
A Starlight MX516 - no adaptation
needed for this one!
A QuickCam Pro 4000 - colour camera bough in 2002
QCPro4000 & Mx516
QCVC,
QCPro400, Mx516 & Skysensor
My images are processed like this:
Before going into image processing one must address the subject of image acquisition. Processing an image can only make visible the data contained in the original. The trick is to record the maximum amount of data in each raw image, and not the usage of software and filtering algorithms, although they are of great importance.
Basically you must deal with tree factors: Atmospheric turbulence, the telescopes maximum resolution and light gathering power and the cameras image
sampling, light sensibility and noise level.
You cannot easily change
the factors themselves, only their interplay. This is achieved by finding
the right f/ratio to obtain your images, generally by means of using
a Barlow lens. The objective isn't getting the aesthetically best image,
but the one that records the maximum details possible.
Small magnifications
will allow shorter exposure values and noise free images, but the amount
of spatial information obtained is low, as the object will be only
a few pixels across.
High magnifications demand longer exposures, making
the effects of turbulence more visible (a way to shorten the exposures
is to use a higher electronic gain level, but the images noise
level will then rise). Nevertheless, the planet will cover more pixels,
and all the spatial information will be recorded.
These two situations
will determine the path to follow regarding image processing.
In the
case of undersampling, meaning small planetary images that fail to
record all the spatial detail possible, a special procedure named superresolution
should be employed.
The second case is oversampling, where the planet
is large enough to allow all of the details to be recorded. Special
image processing algorithms such as Maximum Entropy deconvolution or
Wavelet Filters should be used in this case.
Regardless of the situation
your first work will be to average the best images obtained in each
session together. All images blurred by atmospheric turbulence or out
of focus should be discarded. This will remove the random noise present,
allowing you to perform subsequent image processing on a "clean" image.
Software such as Registax, K3CCD Tools or Iris are able to choose,
align and stack the best frames automatically.
This is the basic procedure to follow
in processing planetary images. Ill just add some common operations
that are crucial and performed many times. There is no recipe to their
use, so experimentation and practice are advised.