Shine Stacker

Shine Stacker combines images captured at different focus distances to create an image with extended depth of field. It is intended for microscopy, macro photography, and computational imaging. The free, open-source software offers Laplacian pyramid and depth map stacking methods, plus automatic alignment and color or luminosity balancing. Other listed processing functions include noisy pixel masking, vignetting correction, and final filters. For retouching, users can select details from individual frames to address dust, ghosts, and artifacts. Batch workflows can divide many frames into smaller groups and merge them into one focused image. Python batch processing and Jupyter notebook scripting are supported. Shine Stacker supports RAW files, with TIFF, JPEG, and multilayer TIFF listed as output formats. It runs on Windows, macOS, and Linux, and is also listed for API access. The project is available as a GitHub download, and Python users can install it from PyPI with pip. Shine Stacker is listed under the LGPL-3.0 license, and Luca Lista is identified as its developer and maintainer.

Shine Stacker brings stacking, retouching, and batch workflows together for focus-extended images. Its listed outputs are TIFF variants and JPEG, with installation options through GitHub or PyPI.

Shine Stacker suits people working with microscopy, macro photography, or computational imaging who need to combine frames taken at different focus distances. Python batch processing and Jupyter support may also suit scripting workflows.