[IP3-6-4] Low-pass filtering

Spatial filters transform an image by taking into account the local neighborhood of a pixel. The goal of filtering is to remove unnecessary components from images (e.g., noise), while emphasizing the necessary ones. In this context, low pass filters aim at removing sharp transitions in the image intensities (high spatial frequencies).

External resources

• Jensen, J. R. (2005). Introductory digital image processing: a remote sensing perspective (3rd ed.). Upper Saddle River, N.J.: Prentice Hall.

Learning outcomes

• 2320 - Discuss how the size of the neighborhood impacts the smoothing effect of a low-pass filter

  Discuss how the size of the neighborhood impacts the smoothing effect of a low-pass filter

Self assessment

Outgoing relations

• [IP3-6-4] Low-pass filtering subclassof [IP3-6] Neighbourhood analysis (convolution)

Incoming relations

• [IP3-6-4-1] Gauss filter subclassof [IP3-6-4] Low-pass filtering