M16 - Eagle Nebula - V1.5.363

[mexbound]

I just finished processing The Eagle Nebula using the latest "test" version of StarTools. It was my first time using V1.5 and I think the processing flow, using "mostly" the defaults, worked just fine. I was hoping if someone could help me improve my StarTools post-processing skills by taking their own try at it. I am having trouble controlling "Color Fringing" on my white stars.

I will provide a Dropbox link to the Eagle Nebula.fit which was stacked/created in PixInsight. No post-processing was performed in PixInsight.

Exposure:
Total Lights(OSC): 120 minutes
40 x 180 seconds
101 Flats
101 Dark Flats
101 x 180 seconds Darks

Hardware:
ZWO ASI1600-MC Pro (Gain:75 Offset:12)
Celestron Edge HD 800

Software:
PixInsight (Stacking)
PHD2 Guiding
StarTools

Here is the dropbox link to the fit file:

https://www.dropbox.com/s/nv75qvf4vs8mp ... a.fit?dl=0

Here is my post-processing result using StarTools:

Eagle Nebula.jpg (410.53 KiB) Viewed 2654 times

Here is the log:
-----------------------------------------------------------
StarTools 1.5.363
Thu Aug 22 15:06:39 2019
-----------------------------------------------------------
File loaded [D:\AstroImages\Eagle (or Star Queen) Nebula\Subframeselector\Debayered\registered\Eagle Nebula.fit].
Image size is 4656 x 3520
---
Type of Data: Linear and was Bayered, but not whitebalanced
--- Auto Develop
Parameter [Ignore Fine Detail <] set to [2.0 pixels]
Parameter [Outside RoI Influence] set to [50 %]
Parameter [RoI X1] set to [0 pixels]
Parameter [RoI Y1] set to [0 pixels]
Parameter [RoI X2] set to [4656 pixels (-0)]
Parameter [RoI Y2] set to [3520 pixels (-0)]
--- Crop
Parameter [X1] set to [17 pixels]
Parameter [Y1] set to [226 pixels]
Parameter [X2] set to [4531 pixels (-125)]
Parameter [Y2] set to [3457 pixels (-63)]
Image size is 4514 x 3231
--- Bin
Parameter [Scale] set to [(scale/noise reduction 50.00%)/(400.00%)/(+2.00 bits)]
Image size is 2257 x 1615
--- Wipe
Parameter [Mode] set to [Correct Color & Brightness]
Parameter [Precision] set to [256 x 256 pixels]
Parameter [Dark Anomaly Filter] set to [1 pixels]
Parameter [Drop Off Point] set to [100 %]
Parameter [Corner Aggressiveness] set to [100 %]
Parameter [Aggressiveness] set to [75 %]
--- Develop
Parameter [White Calibration] set to [Use Stars]
Parameter [Gamma] set to [1.00]
Parameter [Skyglow] set to [0 %]
Parameter [Digital Development] set to [96.43 %]
Parameter [Blue Luminance Contrib.] set to [100 %]
Parameter [Green Luminance Contrib.] set to [100 %]
Parameter [Red Luminance Contrib.] set to [100 %]
Parameter [Dark Anomaly Headroom] set to [5 %]
Parameter [Dark Anomaly Filter] set to [2.0 pixels]
Mask used (BASE64 PNG encoded)

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

--- Deconvolution
Parameter [Image Type] set to [Deep Space]
Parameter [Mask Behavior] set to [De-ring Mask Gaps, Hide Result]
Parameter [Radius] set to [1.5 pixels]
Parameter [Iterations] set to [6]
Parameter [Regularization] set to [1.00 (optimal noise and detail)]
Parameter [Mask Fuzz] set to [4.0 pixels]
--- Wavelet Sharpen
Parameter [Structure Size] set to [Large]
--- Wavelet Sharpen
Parameter [Intelligent Enhance] set to [Yes]
Parameter [Scale 1] set to [100 %]
Parameter [Scale 2] set to [100 %]
Parameter [Scale 3] set to [100 %]
Parameter [Scale 4] set to [100 %]
Parameter [Scale 5] set to [100 %]
Parameter [Mask Fuzz] set to [8.0 pixels]
Parameter [Amount] set to [100 %]
Parameter [Small Detail Bias] set to [75 %]
--- Contrast
Parameter [Expose Dark Areas] set to [No]
Parameter [Compensate Gamma] set to [No]
Parameter [Precision] set to [256 x 256 pixels]
Parameter [Dark Anomaly Filter] set to [10 pixels]
Parameter [Aggressiveness] set to [75 %]
Parameter [Dark Anomaly Headroom] set to [15 %]
--- HDR
Parameter [Small Detail Precision] set to [Max]
Parameter [Channels] set to [Brightness Only]
Parameter [Algorithm] set to [Reveal All]
Parameter [Dark/Bright Response] set to [1.00]
Parameter [Detail Size Range] set to [1000 pixels]
Parameter [Strength] set to [1.2]
---
Parameter [UNKNOWN] set to [Small]
--- Fractal Flux
Parameter [Brightness Mask Mode] set to [Off]
Parameter [Algorithm] set to [Modulate Unsharp Mask]
Parameter [Negative Flux] set to [0 %]
Parameter [Positive Flux] set to [500 %]
Parameter [Detail Filter] set to [1.0 pixels]
Parameter [Filter Fuzz] set to [1.0 pixels]
Parameter [Filter Radius] set to [1.5 pixels]
Parameter [Filter Amount] set to [200 %]
Parameter [Mask Fuzz] set to [1.0 pixels]
Parameter [Brightness Mask Power] set to [1.00]
--- Color
Parameter [Cap Green] set to [Sliders Reduce Color Bias]
Parameter [Bias Slider Mode] set to [Scientific (Color Constancy)]
Parameter [Style] set to [Straight CIELab Luminance Retention]
Parameter [LRGB Method Emulation] set to [UNKNOWN]
Parameter [Dark Saturation] set to [2.00]
Parameter [Bright Saturation] set to [Full]
Parameter [Saturation Amount] set to [200 %]
Parameter [Blue Bias Reduce] set to [1.44]
Parameter [Green Bias Reduce] set to [1.00]
Parameter [Red Bias Reduce] set to [1.62]
Parameter [Mask Fuzz] set to [1.0 pixels]
Parameter [UNKNOWN] set to [100 %]
--- Wavelet De-Noise
Parameter [Filter Type] set to [Distance Weighted Outlier Rejection]
Parameter [Grain Size] set to [11.0 pixels]
--- Wavelet De-Noise
Parameter [Scale 1] set to [95 %]
Parameter [Scale 2] set to [95 %]
Parameter [Scale 3] set to [95 %]
Parameter [Scale 4] set to [95 %]
Parameter [Scale 5] set to [0 %]
Parameter [Mask Fuzz] set to [1.0 pixels]
Parameter [Scale Correlation] set to [6]
Parameter [Color Detail Loss] set to [12 %]
Parameter [Brightness Detail Loss] set to [12 %]
Parameter [Grain Dispersion] set to [11.0 pixels]
Parameter [Non-linear Response <] set to [Off]
Parameter [Smoothness] set to [65 %]
File saved [D:\AstroImages\Eagle (or Star Queen) Nebula\Subframeselector\Debayered\registered\Eagle Nebula.tiff].

[admin]

Hi,

Thanks for helping with beta testing 1.5!
FYI, 1.5 "proper" has just been released.

The stars appear pink/purple in the linear image, and not "properly" overexposed. I'm not sure if there is a PixInsight setting to correct this. This can cause some discoloration inside the star cores.
It also appears that PixInsight had trouble aligning the stars correctly, causing color fringing.
In short, the only real issue in your dataset stems from PixInsight (or something else in your optical train) introducing incorrect color data.

To alleviate the fringing you can use the "Legacy" preset in the Color module, which switches to rendering the color as found in most other post-processing applications that do not have Tracking (e.g, PS, PI, APP, etc.). This will switch off Color Constancy and "wash out" colors in very bright parts of the image (such as star cores) like all other applications do. This option may be totally fine for many images, but may destroy coloring in bright areas such as galaxy cores or bright nebulas (such as M42's core). Galaxy cores are usually yellow and may exhibit brown/red gas lanes in the foreground, which StarTools can recover. The same goes for M42's teal green core (caused by enormous O-III emissions), which is sadly depicted as white by other applications.

When using Decon, try finding the "Radius" setting that matches the blur you're trying to undo. This is usually as easy as increasing this parameter until noticeable rings start forming around smaller stars.

Hope this helps and/or provides any helpful clues!

Eagle Nebula.jpg (213.27 KiB) Viewed 2612 times

--- Bin
Parameter [Scale] set to [(scale/noise reduction 35.38%)/(798.89%)/(+3.00 bits)]
Image size is 1647 x 1245
--- Auto Develop
Default
--- Crop
Parameter [X1] set to [15 pixels]
Parameter [Y1] set to [97 pixels]
Parameter [X2] set to [1603 pixels (-44)]
Parameter [Y2] set to [1232 pixels (-13)]
Image size is 1588 x 1135
--- Wipe
Default
--- Auto Develop
Parameter [Ignore Fine Detail <] set to [2.0 pixels]
--- Deconvolution
Parameter [Radius] set to [2.4 pixels]
Parameter [Iterations] set to [10]
--- Color
Parameter [Cap Green] set to [Sliders Reduce Color Bias]
Parameter [Bias Slider Mode] set to [Artistic, Not Detail Aware]
Parameter [Style] set to [RGB Ratio, CIELab Luminance Retention]
Parameter [LRGB Method Emulation] set to [UNKNOWN]
Parameter [Dark Saturation] set to [3.00]
Parameter [Bright Saturation] set to [3.00]
Parameter [Saturation Amount] set to [300 %]
Parameter [Blue Bias Reduce] set to [1.42]
Parameter [Red Bias Reduce] set to [1.67]
Parameter [UNKNOWN] set to [0 %]
--- Wavelet De-Noise
Parameter [Grain Dispersion] set to [4.0 pixels]