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This is the HOO version of M27 using the Narrow-band Normalization script from Bill Blanshan.
Imaging telescope :
Askar Apochromatic 80/600 mm Askar 80PHQ
Imaging camera
ZWO Optical ASI533MC (CMOS)
Mount:
Equatorial iOptron GEM-45
Guiding telescope:
Orion Refractor 60/240 mm
Guiding camera:
ZW0 ASI120MM mini (CMOS)
Filters
Optolong Multi-Narrowband L-Ultimate 2.00"
Lights: 150 x 300 sec
Total lights integration time: 12:30 hours
M27 (Dumbbell, NGC6853m Apple Core) is a planetary Nebula residing at about 1,200 light-years from Earth, discovered by Charles Messier in 1764. It contains dense nodes of gas at its core, the glowing gas around the central star (a White Dwarf) is formed by ionized hydrogen (Orange-red) and ionized oxygen (Blue) and is a consequence of the star shedding its outer layers. M27 is the brightest planetary nebula in the night sky.
A small natural made damn in a mountain stream that feeds the Colorado River. This is along the trail that takes off from the Grizly Creek rest area in Glenwod Canyon.
All the shots are unique, you haven't seen them earlier and were not processed from published ones!
These shots were made with Pentax KF B&W Orange settings. Not IR as for shots with black sky to add a pinch of doom scenario or apocalyptic emotions. Time to find out what's good in traditional b&w shots. Both other series and this one were accompanied with CPF.
What I did was normalizing central gray scope here to make the shots look similar. I'm aiming to discover camera sets to make shots without need to post process them, if that would be possible, or with minimalist touches of my GIMP.
I did not touched black slider. Gray (+/-), white (-) and highlight (-) sliders only, plus conservative values for sharpness (only for compensation of camera soft settings): Radius: 1.000, Amount: 0.310 and Threshold: 0.110.
I ask you for comments what to check, what to correct and how,
and which compositions look better using such bright settings for shooting b&w with strong day light. Any suggestions are welcome and highly appreciated.
Thank you. :) Have a nice fun here. :)
1. SI: People have learned to normalize the bad state of streets and communal spaces, leading to a scarcity of caring to fix them.
2. Materials: Rusting fence
3. Idea: This picture shows a fence in disrepair, guarding a community space filled with trees.
4. Process: I took the picture quite close to the fence, in a way where viewers could see the tree.
Fig. 4. Comparison of normalized trend surfaces estimated by the median polishing technique for
the four years in the field in Figure 2: (A) 1998, (B) 1999, (C) 2000, and (D) 2001.
books.google.com.ph/books/irri?id=-2DDLK9RYSIC&lpg=PA...
Part of the image collection of the International Rice Research Institute (IRRI)
3264
2448
pixel
-913515208
269
2
0.798
0.072
normalized
0.189
0.096
Face
-913515208
320
45
1
0.796
0.069
normalized
0.775
0.092
Face