starnet2 ☆

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Description:
Removes stars from astrophotography images using ML models

Type: Cask | Latest Version: 02,2023@0 | Tracked Since: Dec 28, 2025

Links: Homepage | formulae.brew.sh

Category: Multimedia

Tags: astrophotography image-processing machine-learning astronomy star-removal

Install: brew install --cask starnet2

About:
StarNet2 is a specialized software tool designed to isolate and remove stars from astrophotography images. It leverages advanced machine learning models to separate star fields from deep-sky objects, enabling photographers to process stars and nebulosity independently. This allows for advanced editing workflows, such as applying different stretching or color adjustments to the starless image to reveal faint details without overexposing the stars.

Key Features:

AI-powered star separation using machine learning models
Generates star masks and starless images for advanced processing
Command-line interface for batch processing and automation
High-quality output preserving faint nebulosity and details

Use Cases:

Creating starless images to enhance faint nebulae and galaxies without star bloating
Generating precise star masks for independent color correction and stretching
Batch processing large sets of astrophotography frames for consistent results
Post-processing data from telescopes like Hubble or JWST for scientific visualization

Alternatives:

StellarNet – Open-source alternative using similar AI techniques for star removal
Photoshop StarXTerminator – Commercial plugin with similar functionality but requires Adobe ecosystem

Version History

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