Postprocessed

Postprocessed is the adjective used to describe data, media, or products that have undergone post-processing, a set of operations performed after the primary production or initial data generation stage. The goal is to improve quality, extract desired information, restore usability, or prepare outputs for delivery.

In imaging and photography, postprocessed images have been adjusted for exposure, color balance, noise reduction, sharpening, and contrast. Other edits may include cropping, retouching, compositing, and applying artistic or corrective filters. In video and film, post-processing covers color grading, stabilization, noise reduction, visual effects, and encoding for distribution.

In audio work, post-processing includes equalization, compression, limiting, noise reduction, and normalization to achieve consistency and clarity. In video and audio production, these steps often occur during a dedicated post-production phase after recording, before final release or broadcast.

In data analysis and computing, post-processing refers to operations performed after a computation or data generation stage. Examples include filtering, aggregation, normalization, outlier handling, calibration, and transforming units. In machine learning and statistics, post-processing can involve probability calibration, thresholding, ensembling, decoding model outputs, and preparing results for interpretation or deployment.

In manufacturing and remote sensing, post-processing may include finishing steps like sanding or polishing after forming, as well as atmospheric, geometric, or radiometric corrections applied to imagery or sensor data.

Considerations include the potential for introducing bias or artifacts if steps are not well-documented, and the importance of reproducibility and transparency in describing the post-processing workflow.