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Terminology

  • Deconvolution: removing blur from an image.
  • Sharpening: improving the perceived acuity and visual sharpness of an image, especially for viewing it on a screen or print.
  • Super-resolution: reconstructing missing detail in an image.
  • Upsampling: increasing the image resolution, with no relation to blur, sharpness, or detail – but aiming to at least not reduce it. Sadly ML literature calls upsampling “single frame super-resolution”.

Source: https://bartwronski.com/2022/05/26/removing-blur-from-images-deconvolution-and-using-optimized-simple-filters/