Fast Panorama Stitcher and Blender, implemented in SIMD-Math.
PTStitcherNG reads and transforms any number and type of input images, and combines them into one seamless panoramic image with larger field-of-view. Given enough input images, full spherical 360x180 degree views can be synthesized suitable for virtual-reality viewers or printing. Transformation parameters and names of the input images are read from a plain-text projectfile. The transformations consist of correcting distortions due to camera lenses, perspective tranlation and remapping to any of the usual panorama projections. Merging employs an eight level multiresolution algorithm which hides seams even if the source images fit badly. PTStitcherNG natively reads PPM, TIFF and JPEG images, and almost any raw or other format through plug-ins.
PTStitcherNG combines a panorama stitcher and multiresolution blender in one application. It is optimized for speed by using parallel processing (SIMD-instructions, multiple processor cores). The main novel feature is the tight coupling of the remapper and blender, with an optimized management of temporary data. This enables PTStitcherNG to keep all intermediate data and processed images in ram (in the case of the CUDA-version: in gpu-ram) even when stitching hundreds of images to gigapixel sized panoramas. As a result, no data have to be written to disk, or reread from disk with corresponding speed improvements. As an aside, this makes PTStitcherNG perform fast even on low profile host systems
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Features:
Enblend combines images that overlap into a single large image with no seams. Enfuse combines images that overlap into a single image with good exposure and good focus.
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