Post-processing refers to the manipulation and enhancement of data after it has been initially processed or generated. In computer graphics, it involves applying effects and filters to rendered images or videos to improve their visual quality or achieve a specific artistic style. In machine learning, it can involve refining the output of a model to improve its accuracy or interpretability. Common post-processing techniques include color correction, sharpening, noise reduction, and the addition of special effects.
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