OpenFocus vs Shine Stacker

OpenFocus aligns and fuses multi-focus image sequences to create images with focus throughout. It offers ECC and Homography alignment and several fusion methods: Guided Filter, DCT, DTCWT, GFG-FGF and the StackMFF V4 AI model. A wipe view lets users compare source frames with results, and the software can generate depth maps showing focus position per pixel. It supports folder-based batch processing and a headless command-line interface for scripting and CI. Listed inputs include JPG, PNG, BMP, TIFF, MP4 and numbered image folders; the manual also describes decoding additional video formats. Outputs include those image formats, image-sequence folders and GIF animations. Research functions include metadata-calibrated scale bars and multi-page TIFF stacks that preserve 16-bit depth. The interface supports English, Chinese, Japanese and Spanish, with automatic system-language detection. OpenFocus is free under the MIT License, though included algorithms may have separate license terms. Its Windows and macOS app builds are unsigned and may trigger SmartScreen or Gatekeeper warnings on first launch.

Shine Stacker combines images captured at different focus distances to produce images with extended depth of field. It is intended for microscopy, macro photography, and computational imaging. The software offers Laplacian pyramid and depth map stacking methods, with automatic alignment, color or luminosity balancing, 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 before merging them into one focused image. Python batch processing and Jupyter notebook scripting are supported. Shine Stacker supports RAW files and lists TIFF, JPEG, and multilayer TIFF as output formats. It is open source under the LGPL-3.0 license and free to download. The listed platforms are Windows, macOS, Linux, and API. The maker offers a GitHub download and Python installation through PyPI with pip.