Fundamentals · PixInsight 1.9.x

Synthetic luminance

A synthetic luminance is built from existing channels instead of being captured with an L filter. It carries structure and sharpness; the colour image carries colour. Both are processed separately and merged with .

Purpose

DataLuminance fromBenefit
colour camera (OSC)L* of the colour imageprocess structure and colour separately
L + Hamax(L, Ha_LF) or weightednebula from Ha with better signal, star field from L
narrowband (Ha, OIII, SII)max(Ha, OIII_LF, …) or weightedeach structure with its strongest signal
Whya synthetic luminance?

In LRGBCombination the luminance determines the entire image brightness and structure. A luminance from one channel only suppresses structures that shine mainly in other channels – they would end up dark in the final image although the colour image contains them. A luminance built from all channels carries each structure with its strongest signal.

Principle

  • Maximum takes the brightest channel at every point. Structures come from the channel in which they are brightest; stars are not added from several images.
  • A weighted sum is softer and less noisy, but averages faint structures of one channel with the noise of the others.
  • Before either, the channels must be brought to similar levels; otherwise max() always picks the channel with the highest level, regardless of content.

Operation

Matching levels with LinearFit

  1. Copy the weaker channel (e.g. OIII_LF).
  2. LinearFit with the strongest channel as reference.
  3. Reapply the auto-STF – with the old STF the image often looks white. Statistics: median ≈ median of the reference.

Combining

, destination Create new image, greyscale, rescale off.

VariantExpressionEffect
maximummax(Ha, OIII_LF, SII_LF)each structure from the brightest channel; stars from the channel where they are narrowest
weightedHa*0.5 + OIII_LF*0.3 + SII_LF*0.2softer, less noisy; weights sum to 1

Recommendation: start with maximum. If the result looks noisy in faint areas (the maximum favours noise peaks), use the weighted variant with a higher share of the strongest channel.

Typical applications

Colour camera: L* from the colour image

ChannelExtraction on the colour image, CIE L*a*b*, L only. L* corresponds to perceived brightness and is exactly the component that LRGBCombination later replaces.

As the luminance comes from the same image, it contains no additional information; its benefit lies solely in separate processing. Two moments are possible:

RouteExtractionStretchingMatching before combinationUse
A – simplefrom the stretched colour imagenot needednot needed (identical to the colour image’s L*)standard
B – more controlfrom the linear colour imageseparatelyrequiredthe luminance should be stretched differently (deeper black point, more structure) while the colour image stays softer

L and Ha

max(L, Ha_LF) after LinearFit of Ha to L: nebula from Ha (stronger signal), stars and star field from L (larger and brighter there). Weighted: L*0.6 + Ha_LF*0.4; more Ha brings more nebula structure but a harsher look.

Narrowband

max(Ha, OIII_LF) or with SII; stars come from Ha, where they are narrowest. With noisy OIII, the weighted variant with a higher Ha share.

What a good result looks like

Typical errors

ObservationCauseRemedy
Structures of one channel missinglevels not matchedLinearFit first
Luminance noisy in faint areasmaximum favours noise peaksweighted variant
One structure colour too dark after combiningweighting too lowadjust the weighting;
Image white after LinearFitold STFreapply the auto-STF

When to use it – and when not

Good forBetter another tool
processing structure and colour separately without an L exposurea real L exposure exists → use it, or combine it with Ha
narrowband: bringing all channels into the structurecolour image without separate processing → stretch directly
Used in

HaLRGB workflow · Narrowband workflow (HOO/SHO) · OSC workflow with a quad band-pass filter · PixelMath