2D adaptive filters
= 2D adaptive filters
{wiki=2D_adaptive_filters}
2D adaptive filters are algorithms used in signal processing to filter two-dimensional data, such as images or video frames. Unlike traditional filtering methods, which apply a fixed filter kernel, adaptive filters dynamically adjust their parameters based on the characteristics of the input data. This adaptability allows them to effectively handle non-stationary signals and can lead to better performance in various applications such as image enhancement, noise reduction, and feature extraction.