Postprocessingadjusting
Postprocessing, or post-processing, is the set of operations applied after an initial data capture or production stage to improve quality, extract information, or render a final product. It spans fields such as photography, videography, audio production, computer graphics, data analysis, and manufacturing.
In imaging, postprocessing includes exposure and white balance adjustment, color correction, noise reduction, sharpening, cropping, and
In video and audio, color grading, contrast management, noise reduction, stabilization, equalization, and mixing refine the
In 3D graphics and compositing, postprocessing adds visual effects, compositing, bloom, depth of field, and tonemapping
In data science and analytics, postprocessing can denote cleaning, normalization, feature scaling, imputation, and calibration of
In manufacturing and printing, post-processing covers deburring, polishing, annealing, heat treatments, coating, curing, and surface finishing,
It can also include non-destructive testing and inspection to verify final tolerances.
Key goals are to improve appearance, accuracy, reliability, and usability while preserving traceability of the original
Effective postprocessing relies on predefined workflows, quality control, documentation of edits, and reversible operations when possible
Common challenges include overprocessing, introduction of artifacts, and bias, as well as ensuring compliance with copyright
The specifics of postprocessing are industry-specific, but the overarching principle is to add value after the