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Old 04-09-2013, 05:58 PM
Garbz (Chris)
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Garbz is offline
 
Join Date: May 2012
Location: Brisbane
Posts: 646
Video: Processing M27 in Pixinsight

Hey guys, When I processed my M27 photo the other night I thought I'd try something and recorded a video of the processing. Not sure what I was thinking at the time but maybe this will help me learn from my mistakes or learn what works etc.

The resulting M27 picture is here: http://www.flickr.com/photos/10090242@N03/9671462468/

Anyway I thought I'd share the process I went through to make it incase it helps someone. Video is hopefully embedded below.

http://www.youtube.com/watch?v=trR5g3riAk8


Look a few posts below for another video it produced much better results.

The steps I went through are thus:
  1. Opened single sub and debeyered.
  2. Stacked all the subs together.
  3. Compared the stacked image to the original single sub. I did this because I recently found that when I stuff up the stack it will actually add noise so comparing the noise in both images is a sanity check that the stacking worked well.
  4. Basic crop applied, and image mirrored.
  5. DBE used to eliminate background colours.
  6. Histogram transform was applied to brighten up the image. Here I entered the median of each channel in the midrange and then entered 0.92 as the RGB/K midrange. This normally gives me a good starting point.
  7. Next change the RGB working space to all 1s (apparently this helps some of the tools like ACDNR)
  8. I extract the lightness channel and then use LRGB Recombination to add saturation to the image and do some colour noise reduction. I find this works better for overall saturation than the curves tool.
  9. Use Dynamic PSF to determine the point spread function for deconvolution.
  10. Build a star mask that I will use for a few tools.
  11. Then I try in vain to get a decent deconvolution working but throw my arms up in frustration and settle for another way of sharpening the image.
  12. I create another mask for all bright objects.
  13. I move to ATrouseWaveletTransform and use it to sharpen the image by controlling the bias.
  14. SCNR is applied though not really needed as there wasn't much of a green tinge in this image.
  15. Then I move to ACDNR to reduce lightness noise.
  16. I prepared another mask that was blurry but focused only on the nebula itself.
  17. Again I used ATrouseWaveletTransform to sharpen the image, this time with a different set of parameters to make the nebula "pop" a bit more.
  18. Still not quite poppy enough I also used LocalHistogramEqualisation to add a very subtle HDR effect. I'm not a fan of overuse of the effect so by the time I'm finished with the settings the result is quite subtle.
  19. Finally a bit of playing with curves to get the background down in brightness and then I add a bit of saturation to the blue stars.
  20. A quick rescale and I posted it on the web.

I wonder if anyone will find this helpful.

Last edited by Garbz; 06-09-2013 at 02:34 PM.
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