Non-linear digital filtering technique to remove noise
The median filter is a non-linear digital filtering technique, often used to remove noise from an image or signal. Such noise reduction is a typical pre-processing step to improve the results of later processing (for example, edge detection on an image). Median filtering is very widely used in digital image processing because, under certain conditions, it preserves edges while removing noise (but see the discussion below for which kinds of noise), also having applications in signal processing.
The medianfilter is a non-linear digital filtering technique, often used to remove noise from an image or signal. Such noise reduction is a typical pre-processing...
is a method for robust linear regression based on finding medians of slopes. The medianfilter is an important tool of image processing, that can effectively...
median tolerates shocks better than the moving mean. When the simple moving median above is central, the smoothing is identical to the medianfilter which...
running-medianfilter, such that every output sample Ri is the median of the last three input samples ri, ri−1, ri−2. Like linear filters, nonlinear filters may...
2022). "Moving Object Detection Based on a Combination of Kalman Filter and MedianFiltering". Big Data and Cognitive Computing. 6 (4): 142. doi:10.3390/bdcc6040142...
A medianfilter is an example of a non-linear filter and, if properly designed, is very good at preserving image detail. To run a medianfilter: consider...
matrixStats::weightedMedian(), spatstat::weighted.median(), and others. Weighted arithmetic mean Least absolute deviations Medianfilter Quickselect Cormen...
A bilateral filter is a non-linear, edge-preserving, and noise-reducing smoothing filter for images. It replaces the intensity of each pixel with a weighted...
The Kuwahara filter is a non-linear smoothing filter used in image processing for adaptive noise reduction. Most filters that are used for image smoothing...
integrator–comb filter construction allows for doing the equivalent operation in a single pass. Gaussian blur Gaussian filterMedianfilter Wojciech Jarosz...
value with the median value in its local neighborhood, effectively reducing impulse noise. Based on statistical models, the Wiener filter minimizes the...
has advantages over simple techniques such as linear smoothing or medianfiltering which reduce noise but at the same time smooth away edges to a greater...
pseudomedian is the average of these two quantities. Hodges–Lehmann estimator Medianfilter Lulu smoothing Hollander, M. and Wolfe, D. A. (2014). Nonparametric...
sung by a chorus, stretched in time or played backward. DeNoise tools (Medianfilter and Audio gate) for audio noise reduction. Simultaneous work with several...
dense hedges of shrubs filter the headlights of oncoming traffic and provide a resilient barrier. In other areas, the median may be occupied by a right-of-way...
comparisons). Geometric median § Computation, algorithms for higher-dimensional generalizations of mediansMedianfilter, application of median-finding algorithms...