starnet++ ☆

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Description:
Removes stars from astrophotography images using ML models

Type: Cask | Latest Version: 2,03,2022@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 starnet++

About:
StarNet++ is a specialized software tool that utilizes machine learning models to automatically detect and remove stars from astrophotography images. By separating the star field from the deep-sky background, it allows astronomers to process and enhance nebulosity details without interference from stellar artifacts. This creates cleaner final images and enables advanced processing workflows like creating synthetic star masks or processing starless images separately.

Key Features:

AI-powered star detection and removal using neural networks
Preserves faint nebulosity and background details while removing stars
Command-line interface for batch processing automation
Cross-platform compatibility (Windows, macOS, Linux)
Produces high-quality starless images suitable for further processing

Use Cases:

Creating starless versions of deep sky images for enhanced nebulosity processing
Generating synthetic star masks for separate processing and recombination
Batch processing large sets of astrophotography images through automation
Removing stars from images where they obscure faint galactic or nebular details

Alternatives:

PixInsight – Commercial astrophotography software with star removal tools; more expensive but offers integrated workflow
StellarNet – Alternative AI-based star removal tool with similar ML approach
GIMP/Photoshop – Manual star removal using traditional tools; labor-intensive and less consistent

Version History

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