Image processors and filters.
Project description
Image processors and filters, inspired by Instagram, and ready for use with django-imagekit.
Included are filters for Atkinson-dither halftoning, dot-pitch halftoning (with GCR and per-channel pipeline processors), classes for Numpy-based image processors, Gaussian kernel functions, processors for applying curves to images from Photoshop .acv files, imagekit-ready processors exposing Pillow’s many image adjustment algorithms (e.g. noise and blur functions, histogram-based adjustments like Brightness/Contrast, and many others), and an implementation of the entropy-based smart-crop algorithm that many know from the easy-thumbnails Django app.
Experienced users may also make use of the many utilities shipping with instakit: LUT maps, color structs, pipeline processing primitives and ink-based separation simulation tools, and other related miscellany.
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