Overview: Scaling and image processing

Video scaling and image processing reconstruct samples and alter picture detail for the intended presentation.

Changing picture dimensions requires a rule for estimating samples. Chroma upsampling applies a related reconstruction question to color components, while cleanup operations address noise, bands or edge appearance. This branch connects the chosen filter to the detail and artifacts visible in the result.

• How video scaling works
  Video scaling constructs a new picture grid by mapping output positions into the source and filtering the samples that contribute to each result.

• Chroma upsampling
  Chroma upsampling reconstructs color-difference values at the positions required by a fuller picture or output grid.

• Scaling kernels
  Scaling kernels define how neighboring source samples contribute to a reconstructed output sample.

• Scaling ringing
  Scaling ringing is overshoot and oscillation around picture transitions caused by the reconstruction filter's response.

• Spatial aliasing
  Spatial aliasing occurs when a sample grid represents fine picture variation as a different, often coarser pattern.

• Image cleanup
  Image-cleanup filters alter bands, noise or edge contrast through distinct processing goals.