Non-Linear Filtering

Non-linear filtering is a data processing technique used to smooth or analyze signals and images by applying rules that aren’t based on straight-line calculations. Unlike linear filters, which combine data points using simple addition and multiplication, non-linear filters adapt their processing based on the data’s characteristics, like edges or patterns. This makes them effective at removing noise while preserving important features, such as sharp boundaries in images or sudden changes in signals. They are used in various applications like image enhancement, noise reduction, and signal analysis to improve clarity without losing essential details.