replaces a pixel with the "most typical" value of its surroundings, while ignoring extreme values. Applying a median filter to an image tends to remove "stray pixels" and small details.
Non-Linear, ranking filter, which sorts the values in a neighbourhood. The output value is the median value.
A method of compensating for speckle noise where the pixel of interest is replaced with the median value of a N X N window of neighboring pixels.
an example of a non-linear filter and, if properly designed, is very good at preserving image detail
an example of an order-filter and is also included)
a nonlinear filtering technique, useful for removing shot noise
a nonlinear filter that selects, for every position of the filter, the median value of the source pixels under the filter
a special case that gives an ON pixel if at least half of the pixels are ON
a species of the class of order statistic filters
A filter that calculates the median value of pixels in a neighborhood and then assigns that value to the result pixel.
A non-linear spatial filter used to remove noise spikes from an image.
A spatial filter implemented by convolution which substitutes the median value from surrounding pixels for that recorded at an individual pixel. It is useful for removing random noise.
In it is usually necessary to perform high degree of noise reduction in an image before performing higher-level processing steps, such as edge detection. The median filter is a non-linear digital filtering technique, often used to remove noise from images or other signals. The idea is to examine a sample of the input and decide if it is representative of the signal.