|
PixInsight - Image Post Processing |
FBPP - Weighted Batch Preprocessing |
updated: 2025-03-10 |
|
Purpose |
This script will add all the light frames, the flats, the darks and the bias frames, register them, stack them, debayer them and return a single stacked image. This FBPP batch pre-processing script is much faster than the WBPP but users report it's slightly less accurate. FBPP was introduced in June 2024. |
|
Menu |
Script 🡺 Batch Processing 🡺 FastBatchPreprocessing |
|
Input |
Batch of original pre-selected Light frames + master Dark, Flats and Bias frames |
|
Output |
integrated picture, file name “*_i.xisf” into sub folder "\_Astro\2021 Astro\20210814 M101\AutoCal\master" |
|
Previous Step |
|
|
Next Step |
|
|
Documentation |
|
|
Tutorial |
Notice: The image solver capability has been removed from PCC. FBPP will automatically generate the astrometric data needed for annotation or SPCC in one of the next steps only if the light frames contain this information. To enable the Astrometric solution click on the Lights tab and check the Astrometric solution check box:
In case of missing astrometric data: in order to use PCC in the next step, you must run the SPCC Spectrophotometric Color Calibration or PCC - Photometric Color Calibration process you have to run the Image Solver script (Script > Image Analysis > Image Solver) on the final master light image to update the master file with astrometric data.
IMPORTANT: Flat Frames should also contain the correct filter name in the in the filename. Because color light frames from an ASIAIR OSC camera never contain any filter information, even if a filter has been used. The Master Flat Frames must therefore be renamed and the string _filter-NoFilter must be added somewhere in the filename. They also need to be converted from a .fit to a .xisf file in order to be accepted by the WBPP or FBPP batch pre-processing scripts in PixInsight.
A correct Master Flat filename could therefore be :
MasterFlat_Stack20_50.0ms_Bin1_2600MC_filter-NoFilter_gain100_20250221_1.6C.xisf
Drizzle Integration in FBPP
The drizzle integration can be activated on the Post-Calibration tab:
- Scale: Drizzle output scale, or subsampling ratio. This is the factor that multiplies input dimensions (width, height) to compute the dimensions in pixels of the output integrated image. For example, to perform a 'drizzle X2' integration, the corresponding drizzle scale is 2 and the output image will have four times the area of the input reference image in square pixels.
- Drizzle drop shrink factor: This is a reduction factor applied to input image pixels. Smaller input pixels or drops tend to yield sharper results because the integrated image is formed by convolution with a smaller PSF. However, smaller input pixels are more prone to dry (uncovered) output pixels, visible patterns caused by partial sampling, and overall decreased SNR. Low shrink factors require more and better dithered input images. The default drop shrink factor is 0.9.
Created with the Personal Edition of HelpNDoc: Maximize Your Productivity with HelpNDoc's CHM Help File Creation Features