Anti-aliasing

Anti-aliasing includes several techniques in computer graphics and computer-generated imagery to combat the problems of aliasing in a sampled signal such as a digital image or digital audio recording.

Specific topics in anti-aliasing include:

• Anti-aliasing filter, a filter used before a signal sampler to restrict the bandwidth of a signal such as in audio applications.
• Manual anti-aliasing, an artistic technique done in pixel art graphics to smooth transitions between shapes, soften lines or blur edges.

• Spatial anti-aliasing, techniques for minimizing aliasing when representing a high-resolution images at a lower resolution:
  • Fast approximate anti-aliasing (FXAA), created by Timothy Lottes under Nvidia. Also known as Fast Sample Anti-aliasing (FSAA).
  • Multisample anti-aliasing (MSAA)
  • Super-sampling (SSAA)
  • Morphological antialiasing (MLAA)
  • Conservative morphological anti-aliasing (CMAA)^[1]
• Temporal anti-aliasing (TAA), which can refer to a spatial anti-aliasing that reuses old frames, or an effect similar to motion blur. Related techniques:
  • Deep learning anti-aliasing (DLAA), a type of spatial and temporal anti-aliasing method relying on dedicated tensor core processors.
  • Deep learning super sampling (DLSS), a family of real-time deep learning image enhancement and upscaling technologies.

In cel animation, animators can either add motion lines or create an object trail to give the impression of movement. To solve the wagon-wheel effect without changing the sampling rate or wheel speed, animators could add a broken or discolored spoke to force viewer's visual system to make the correct connections between frames.

• Aliasing
• Pixel-art scaling algorithms
• Nyquist–Shannon sampling theorem

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