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Eliminate Satellite Trails with the Cosmic Clarity Tool
In this tutorial, Co-Founder of Telescope Live, Alexander Curry will introduce the Cosmic Clarity tool for removing satellite trails from astrophotography images. This AI-based standalone software is specifically designed for astrophotographers and works seamlessly with any processing workflow. Key steps include:
When and How to Use Cosmic Clarity:
- Learn how to apply the tool on raw data as a new “step one” before image stacking to ensure clean results.
Setting Up the Tool:
- Configure input and output folders, and disable the “clip satellite trail to zero” option to ensure smooth blending with the background.
Batch Processing and Live Monitoring:
- Run the tool in batch processing mode to batch process multiple an entire dataset folder.
- Explore the live monitoring feature for real-time satellite trail removal during image acquisition.
This tutorial demonstrates how Cosmic Clarity effectively eliminates satellite trails, making a significant improvement to low-integration datasets and enhancing image quality.
Refining Image Stretching with the DeLinear Script and STF Tweaks
In this tutorial, Co-Founder of Masters of PixInsight, Ron Brecher, demonstrates how to use the DeLinear script alongside custom tweaks to the Screen Transfer Function (STF) for quick and effective image stretching in PixInsight.
Key steps include:
Optimizing STF Parameters:
- Adjust the STF background brightness target to around 0.1 for a more natural stretch. Learn how to control-click the radioactive icon to customize and save new parameters.
Installing and Using the DeLinear Script:
- Install Hartmut Bornemann’s script repository and locate the DeLinear script under the Utilities menu. Apply it with one click to convert an STF stretch into a permanent histogram transformation.
Achieving Better Control Over Stretching:
- Understand how the DeLinear script transfers STF settings to histogram transformation, ensuring consistent results with minimal effort.
This tutorial provides a streamlined approach to de-linearization, offering astrophotographers a faster and more effective way to prepare their images for further processing.
Enhanced, Automated WBPP CosmeticCorrection
In this tutorial, Ron Brecher, Co-Founder of Masters of PixInsight, introduces the new automatic cosmetic correction feature in the Weighted Batch Pre-Processing (WBPP) script. This enhancement simplifies the removal of image defects such as hot pixels and bad columns. Key points include:
Introduction to Cosmetic Correction:
- Learn about the three modes: using a master dark, auto-detection, and defect lists. Ron explains how auto-detection can complement master darks for thorough pixel correction.
Using Auto Cosmetic Correction in WBPP:
- Discover how to enable automatic cosmetic correction without pre-defined templates, provided you have a master dark loaded. Adjust pixel thresholds to customize the correction strength.
Practical Tips for Calibration:
- Explore Ron’s recommended settings for hot and cold pixel removal and how to inspect corrected frames for optimal results.
[Free] Enhancing Broadband Nebulae with Hydrogen Alpha Data in SIRIL
In this free tutorial, Co-Founder of Telescope Live, Alexander Curry, will demonstrate how to enhance broadband nebula images by integrating Hydrogen Alpha (Hα) data using SIRIL and pixel math. This technique adds depth and detail to RGB datasets. Key steps include:
Preprocessing and Star Removal:
- Perform stacking, stretching, and color calibration of RGB and Hα data. Remove stars from both datasets to prevent discrepancies during integration.
Blending Hα into RGB:
- Use pixel math to blend Hα data with the red channel of your RGB image, fine-tuning the Q-factor for optimal integration. Adjust settings to highlight faint Hα regions while maintaining natural color balance.
Final Adjustments and Star Recomposition:
- Save the modified image and reintroduce the stars using SIRIL’s star recomposition tool, completing the enhanced RGB-Hα composite.
Alexander provides practical guidance on creating stunning, high-contrast nebula images with a straightforward workflow, perfect for astrophotographers looking to integrate narrowband and broadband data.
Pixelmath Expression:
max(Red, Q*Ha)
Q = 1.5