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Resampling Large Datasets in PixInsight
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In this tutorial, Telescope Live tutor Nik Szymanek demonstrates how to efficiently resample large astrophotography datasets using PixInsight, making advanced processing more manageable on lower-spec systems. Working with 119MB sub-exposures from a QHY-600M CMOS camera, Nik shows how to reduce file size without sacrificing quality. Key steps include:
Setting Up ImageContainer and Output Directory:
- Load full-size files into PixInsight’s ImageContainer and configure a dedicated output folder for resampled images.
Using the Re-sample Process:
- Open a reference image, input scaling values (e.g. 60%), and preserve aspect ratio to downscale the dataset to half its original size.
Executing the Batch Resample:
- Drag the ImageContainer into the Re-sample tool, monitor the resampling process, and manage minor warnings about astrometric data.
Post-Resample Integration:
- Combine the resampled images into SHO masters and apply tools like Blur Exterminator and Star Exterminator with improved speed and efficiency.
This tutorial offers a clear, repeatable workflow for reducing data overhead while maintaining processing quality.
Setting Up ImageContainer and Output Directory:
- Load full-size files into PixInsight’s ImageContainer and configure a dedicated output folder for resampled images.
Using the Re-sample Process:
- Open a reference image, input scaling values (e.g. 60%), and preserve aspect ratio to downscale the dataset to half its original size.
Executing the Batch Resample:
- Drag the ImageContainer into the Re-sample tool, monitor the resampling process, and manage minor warnings about astrometric data.
Post-Resample Integration:
- Combine the resampled images into SHO masters and apply tools like Blur Exterminator and Star Exterminator with improved speed and efficiency.
This tutorial offers a clear, repeatable workflow for reducing data overhead while maintaining processing quality.
SPECIFICATIONS
PART 1
Resampling Large Datasets in PixInsight
Comments
Thanks very much David. Glad to hear it was of use. 👍👍
Thanks for this. It's a really useful video that will be a great time saver.
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