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InverseRadon   (Built-in Mathematica Symbol)
InverseRadon[image] gives the inverse discrete Radon transform of image.InverseRadon[image, {w, h}] specifies the width w and the height h of the resulting image.
Color Processing   (Mathematica Guide)
Mathematica provides convenient functions and algorithms for manipulating colors in images, with full generality for arbitrary numbers of color channels.
LaplacianGaussianFilter   (Built-in Mathematica Symbol)
LaplacianGaussianFilter[image, r] convolves image with a Laplacian-of-Gaussian kernel of pixel radius r.LaplacianGaussianFilter[image, {r, \[Sigma]}] convolves image with a ...
WaveletImagePlot   (Built-in Mathematica Symbol)
WaveletImagePlot[dwd] plots the basis tree of wavelet image coefficients in the DiscreteWaveletData dwd.WaveletImagePlot[dwd, r] plots coefficients up to refinement level ...
DerivativeFilter   (Built-in Mathematica Symbol)
DerivativeFilter[image, {n_1, n_2}] computes the n_i\[Null]^th derivative of image in the vertical and horizontal directions.DerivativeFilter[image, {n_1, n_2}, \[Sigma]] ...
Basic Image Manipulation   (Mathematica Guide)
Mathematica's symbolic architecture makes it possible to treat images just like any other form of expression—applying functions to them, displaying and inputting them in ...
ImageSubtract   (Built-in Mathematica Symbol)
ImageSubtract[image, x] subtracts a constant amount x from each channel value in image.ImageSubtract[image_1, image_2] gives an image in which each pixel is obtained by ...
StandardDeviationFilter   (Built-in Mathematica Symbol)
StandardDeviationFilter[image, r] filters image by replacing every value by the standard deviations of the values in its range r neighborhood. StandardDeviationFilter[data, ...
Colors   (Mathematica Guide)
Combining a new level of programmatic support for symbolic color with carefully chosen aesthetic color parametrizations, Mathematica allows a uniquely flexible and compelling ...
ImageAdd   (Built-in Mathematica Symbol)
ImageAdd[image, x] adds an amount x to each channel value in image.ImageAdd[image_1, image_2] gives an image in which each pixel is the sum of the corresponding pixels in ...
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