ShineStacker
Project description
Shine Stacker
Focus Stacking Processing Framework and GUI
Focus stacking for microscopy, macro photography, and computational imaging
Key Features
- 🚀 Batch Processing: Align, balance, and stack hundreds of images
- 🎨 Hybrid Workflows: Combine Python scripting with GUI refinement
- 🧩 Modular Architecture: Mix-and-match processing modules
- 🖌️ Retouch Editing: Final interactive retouch of stacked image from individual frames
- 📊 Jupyter Integration: Reproducible research notebooks
Interactive GUI
The GUI has two main working areas:
- Project: manage and run focus stacking workflows in a flexible and configurable way, with optional intermediate batch stacking.
- Retouch: select interactively details from individual frames and apply final filters to the blended image.
Resources
🌍 Website on WordPress • 📖 Main documentation • 📝 Changelog
Credits
The main pyramid stack algorithm was initially inspired by the Laplacian pyramids method implementation by Sami Jawhar that was used under permission of the author for initial versions of this package. The implementation in the latest releases was rewritten from the original code.
Resources
- Pyramid Methods in Image Processing, E. H. Adelson, C. H. Anderson, J. R. Bergen, P. J. Burt, J. M. Ogden, RCA Engineer, 29-6, Nov/Dec 1984 Pyramid methods in image processing
- A Multi-focus Image Fusion Method Based on Laplacian Pyramid, Wencheng Wang, Faliang Chang, Journal of Computers 6 (12), 2559, December 2011
- Another original implementation on GitHub by Zongnan Bao
License
The software is provided as is under the GNU Lesser General Public License v3.0.
Project details
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