<ul><li>Nonlinear filters in image processing provide a more robust alternative for dealing with impulse noise such as 'salt and pepper' noise.</li><li>These filters do not follow the principle of superposition like linear filters, enabling them to handle non-additive and non-Gaussian noise statistics effectively.</li><li>One of the widely used nonlinear filters is the median and bilateral filter, known for its ability to remove impulse noise without excessively smoothing image edges.</li><li>Nonlinear filters are practical and efficient tools for processing images affected by non-Gaussian noise, offering better preservation of details compared to linear filters.</li></ul>

Nonlinear Filters in Image Processing

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