5- Introduction to Image Processing: Non-Linear Filters

These flashcards cover key concepts related to non-linear filters in image processing as outlined in the lecture notes.

Median Filtering

A non-linear filter that replaces each pixel's value with the median value of the pixels in its local neighborhood.

Anisotropic Diffusion

A technique to smooth an image while preserving edges, making each pixel more like its neighbors that it is already similar to.

Bilateral Filtering

A filter that combines Gaussian smoothing with a similarity function to preserve edges while reducing noise.

Salt and Pepper Noise

Noise that appears as sparsely occurring white and black pixels in an image.

Gaussian Smoothing

A linear filter that smooths images by averaging pixel values with a Gaussian kernel.

Similarity Function s(p,q)

A function used in anisotropic diffusion to compute a weighted average of neighboring pixel values based on their similarity.

K in Anisotropic Diffusion

A parameter that determines the amount of smoothing applied in anisotropic diffusion.

Mean Filtering

A linear filter that replaces each pixel's value with the average of its neighboring pixel values.

Median Value

The middle value in a sorted list of pixel values used in median filtering.

Edge Preservation

The ability of a filter to maintain the sharpness of edges in an image while reducing noise.