Post-processing refers to any operations or adjustments that are applied to data, images, or materials after the initial phase of production or recording. Post-processing is a value-added stage meant to improve, optimize, or adapt the initial output to satisfy specific standards, enhance quality, or fit certain criteria.
In the context of digital media such as photography or videography, post-processing involves editing the initial captures or recordings using software tools. This can involve color correction, noise reduction, contrast and brightness adjustments, or applying filters and effects. The aim here is to enhance the raw images or footages, bring out more detail, or adjust the aesthetics to match a particular artistic vision or consumer preference.
Post-processing isn’t limited to digital media. In the sphere of data science, post-processing may refer to the range of techniques applied to raw data after initial collection and cleaning. These techniques often involve analysis, modeling, inference, or visualization steps all with the goal of extracting valuable insights. In manufacturing, particularly in additive manufacturing or 3D printing, post-processing might involve steps like support removal, surface finish enhancement, or application of coatings meant to improve the functionality, durability, or appearance of the printed parts. Ultimately, post-processing in all these contexts is about refining output to draw out its best potential.
« Back to Glossary Index
