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Efficient Resampling and SHO Integration in Astro Pixel Processor
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In this tutorial, Telescope Live tutor Nik Szymanek demonstrates how to reduce file sizes and streamline processing by resampling large datasets in Astro Pixel Processor (APP). Using an SHO dataset of the Eta Carina Nebula captured with Telescope Live’s FSQ-106 and QHY-600M setup, Nik outlines a practical workflow for handling high-resolution data on less powerful machines. Key steps include:
Batch Resampling Workflow:
- Learn how to reduce full-size FITS images using APP’s Batch Rotate & Resize tool, applying a scale factor to preserve detail while enabling more efficient processing.
Workaround for FITS Header Quirk:
- Understand how resampling can affect filter metadata, and learn how to correctly reload and organize H-alpha, OIII, and SII files to avoid stacking errors.
SHO Integration and RGB Combination:
- Create master frames for each channel and combine them using the Hubble SHO palette. The tutorial also includes tips for resolving filter recognition issues in APP.
This tutorial provides a clear method for balancing quality and performance in large-scale astrophotography projects.
Batch Resampling Workflow:
- Learn how to reduce full-size FITS images using APP’s Batch Rotate & Resize tool, applying a scale factor to preserve detail while enabling more efficient processing.
Workaround for FITS Header Quirk:
- Understand how resampling can affect filter metadata, and learn how to correctly reload and organize H-alpha, OIII, and SII files to avoid stacking errors.
SHO Integration and RGB Combination:
- Create master frames for each channel and combine them using the Hubble SHO palette. The tutorial also includes tips for resolving filter recognition issues in APP.
This tutorial provides a clear method for balancing quality and performance in large-scale astrophotography projects.
SPECIFICATIONS
PART 1
Efficient Resampling and SHO Integration in Astro Pixel Processor
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