- Usage
- Presets
Presets
As in most modules in StarTools, a number of presets are available to quickly dial in useful starting points.
- 'Constancy' sets the default Color Constancy mode and is the recommended mode for diagnostics and color balancing in.
- 'Legacy' switches to a color rendition for visual spectrum datasets that is closest to what legacy software (e.g. software without signal evolution Tracking) would produce. This will mimic the way such software (incorrectly) desturates highlights and causes hue shifts.
- 'SHO(HST)' dials in settings that are a good starting point for datasets that were imported as S-II, H-alpha and O-III for red, green and blue respectively (also known as the 'SHO, 'SOH:RGB', 'HST' or 'Hubble' palette). This standard way of importing datasets and mapping the 3 bands to the 3 channels in this way (via the Compose module), allows for further channel blends and remapping via the 'Matrix' parameter. Please note the specific blend's parameters/factors under the 'Matrix' parameter. This preset also greatly reduces the green bias to minimise green, while attempting to bring out the popular golden hues.
- 'SHO:OHS' is similar to the 'SHO(HST)' preset, except that it further remaps a SHO-imported dataset to a channel blend that is predominantly mapped as OHS:RGB instead. Renditions typically yield a pleasing "glowing ice-on-fire" effect.
- 'Bi-Color' assumes a dataset was imported as HOO:RGB, that is Ha-alpha imported as red, and O-III (sometimes also incorporating H-beta) imported as green and also blue. This yields the popular red/cyan bi-color renderings that are so effective at showing dual emission dominance. This preset is also particularly useful and popular for people who use a duo-band filter (aka as a tri-band or quad-band filter) with an OSC or DSLR.
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- Module features and documentation
StarTools comprises several modules with deep, state-of-the-art functionality that rival (and often improve on) other software packages.
- Evaluating the result (under Usage)
The magnitude of the noise grain is subsequently recovered, modeled and shaped for use as quantization error diffusion in the final denoised image.
- Color balancing techniques (under Usage)
Once a satisfactory colour balance is achieved you should, of course, feel free to switch to any alternative style of colour rendering.
- Stage one (under Main operation)
Tweaks to these scale parameters are generally not necessary, but may be desirable if - for whatever reason - noise is not uniform and is more prevalent in a particular scale.
- Usage (under AutoDev)
AutoDev, in the presence of any issues, brings out those issues, just like it would with real detail.