In this two-part series, Alex Curry delves into the challenges of wide field of view imaging and its impact on your astro images. He'll introduce you to some traditional techniques for rectifying these issues, applicable across various astrophotography editing software. In Part 2, Alex focuses on a novel PixInsight plugin designed for smart image correction and feature sharpening. He'll guide you through the necessary prerequisites and adjustments to optimize the plugin for your specific data. Useful Links: Introduction to deconvolution: https://telescope.live/blog/pixinsight-deconvolution-why-we-use-it#:~:text=Deconvolution%20in%20PixInsight%20attempts%20to,it%20can%20in%20the%20image. Pixinsight deconvolution documentation: https://www.pixinsight.com/examples/M81M82/index.html SIRIL deconvolution documentation: https://siril.readthedocs.io/en/latest/processing/deconvolution.html James Ritson Affinity Photo macros: https://jamesritson.co.uk/resources.html Pixinsight GPU acceleration guide: https://telescope.live/blog/how-enable-gpu-acceleration-pixinsight

In this tutorial, Alex Curry will demonstrate how to use SIRIL and Affinity Photo for stacking and post-processing nebula images. Alex will explore various tools for creating more visually appealing nebula images in this tutorial specifically designed to enhance creative freedom in post-processing . This workflow, inspired by Nik Szymanek, is adapted for use with SIRIL and other image editing software.

Masters of PixInsight tutor Warren Keller will guide you through a challenging aspect of narrowband imaging: equalizing the lightness in the three narrowband filters (SII, OIII, and Ha), which can vary widely depending on the target. Starting with your stacked data of these three narrowband frames, Warren will discuss and compare various methods such as MTF, LinearFit, and Narrowband Normalization PixelMath expressions by Bill Blanshan. These techniques are used to better balance the color channels in a combined RGB image. To install the script, add this URL to your PixInsight repository: https://www.cosmicphotons.com/pi-modules/narrowbandnormalization/

This 2 part tutorial offers a comprehensive introduction to processing Venus data. Imaging Venus is unique in planetary imaging, combining both UV/IR and RGB processing to enhance cloud details. The first part introduces the raw data components and initial sharpening in Registax. Damian concludes this part with stacking the UV/IR datasets in AutoStakkert. Part 2 focuses on combining data in Photoshop, starting with initial processes, followed by creating a synthetic green channel and adding finishing touches.