perdrix wrote:Still confused about Compose and Colour process. If I go into Compose that seems to be for LRGB stackup and doesn't show me anything.
Compose
mode != Compose
module
Per my previous posts;
"If you chose to import your dataset as "Linear and was Bayered, but not whitebalanced" (e.g. the subject of the DSS feature request
), then Compose mode is used to process luminance and color separately."
So are you saying that I work through the various stages with the display in monchrome and it's only when I get to the Color (sic) module that I will see a coloured image?
Correct. This is also the general recommendation when processing
any dataset in StarTools; get detail (luminance) right first, perform colour calibration at the end. This is because StarTools, through its signal evolution Tracking, can effortlessly recover true colours. It can completely undo the constant stretching and squashing of hue and saturation, caused by stretching the image (whether stretching locally or globally). This ensures all areas of similar emissions retain the same colouring. No more destaurated M42 or M31 cores. They now render a nice teal green (dominant O-III emissions) and yellow (older stars) respectively.
Maybe (if its not too much of a bother you could send me the full log file from when you re-processed the image (minus the star mask of course))? Then I can follow you step by step exactly what you did!
No problem! (it's not much different from the previous processing log posted a few posts ago);
File loaded
Type of Data: Linear and was Bayered, but not whitebalanced
--- Auto Develop
To see what we got. Considerations of previous post still apply. However this time we can also spot a nice green bias, consistent with a dataset that has not been meddled with - progress!
--- Bin
Parameter [Scale] set to [(scale/noise reduction 25.00%)/(1600.00%)/(+4.00 bits)]
Image size is 1300 x 866
--- Crop
Parameter [X1] set to [13 pixels]
Parameter [Y1] set to [12 pixels]
Parameter [X2] set to [1290 pixels (-10)]
Parameter [Y2] set to [852 pixels (-14)]
Image size is 1277 x 840
--- Wipe
Default parameters.
Parameter [Dark Anomaly Filter] set to [4 pixels]
--- Auto Develop
Parameter [Ignore Fine Detail <] set to [3.0 pixels]
Parameter [RoI X1] set to [76 pixels]
Parameter [RoI Y1] set to [420 pixels]
Parameter [RoI X2] set to [483 pixels (-794)]
Parameter [RoI Y2] set to [791 pixels (-49)]
Parameter [Detector Gamma] set to [1.00]
Parameter [Shadow Linearity] set to [50 %]
--- Deconvolution
Auto-generated mask.
Default settings.
--- Wavelet Sharpen
Default settings.
Still using same mask that was still active from Decon (e.g. an inverse star mask)
--- HDR
Reveal (DSO) preset
--- Color
This dataset shows some small aberrations (alluded to earlier in the mention about treatment of overexposed pixels) in the highlights.
The "Legacy" preset mimics the way legacy software (e.g. DSS, PI, APP, PS) desaturates the highlights when stretching.
Parameter [Green Bias Reduce] set to [1.46] to reduce spurious green (check with MaxRGB mode)
Parameter [Cap Green] set to [100 %] once we're sure any spurious green is just that and not the result of a colour balancing issue.
--- Wavelet De-Noise
Accessed by switching Tracking off.
Parameter [Scale 5] set to [95 %]
Parameter [Grain Dispersion] set to [12.2 pixels]
Parameter [Non-linear Response <] set to [Off]
Hope this helps!