focus-stack vs PlaneFuse

focus-stack is a free desktop program that combines photographs taken at different focus settings into an image with extended depth of field. For each pixel, it selects the sharpest source image, a method documented for uses such as microscope photography. The tool can resize and rotate stack images to align them, or alignment can be skipped or adjusted. Outputs include a focus-stacked image, an optional depth map, and a 3D preview based on that map. Input formats supported by OpenCV include JPG, PNG, and TIFF, while the filename extension determines output format. Processing controls cover denoising, consistency filtering, batch size, and thread count. OpenCV’s OpenCL interface provides GPU acceleration when available, with an option to disable it. Binary packages are listed for Windows 10, Ubuntu 20.04, and Mac OS X. The project is MIT licensed; Linux builds require OpenCV 3.0 or newer and basic build tools.

PlaneFuse is free focus-stacking software for macro, product, and landscape photography. It combines frames captured at different focus distances using PMax, DMap, weighted average, or Slab methods. Alignment options include translation, similarity, and perspective; it can reject poorly aligned frames and thin redundant brackets. For RAW stacks, it fuses frames from the same camera and sensor mode in scene-linear RGB and exports a re-editable Linear DNG. The process requires irreversible demosaicing. Its local browser workspace has deep zoom, source and result comparisons, a live histogram, and a reorderable job queue. Non-destructive retouching can work with source frames or results; exports include TIFF, PNG, JPEG, Linear DNG, and depth maps. NVIDIA CUDA and Apple MPS acceleration are supported, with CPU fallback and tiled processing if GPU memory runs out. PlaneFuse also offers command-line and local HTTP and WebSocket interfaces for scripting and batch work. Processing stays on the computer without uploading photos. The software is free for personal and commercial use; initial setup requires Node.js and uv.