Книга: Smoothing: Statistics, Image Processing, Data Set, Pattern, Noise, Statistical Survey, Computer Vision, Moving Average, Scale Space, Curve Fitting, Spline

High Quality Content by WIKIPEDIA articles! In statistics and image processing, to smooth a data set is to create an approximating function that attempts to capture important patterns in the data, while leaving out noise or other fine-scale structures/rapid phenomena. Many different algorithms are used in smoothing. One of the most common algorithms is the 'moving average', often used to try to capture important trends in repeated statistical surveys. In image processing and computer vision, smoothing ideas are used in scale-space representations.