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.

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.