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ImageMultiply   (Built-in Mathematica Symbol)
ImageMultiply[image, x] multiplies each channel value in image by a factor x.ImageMultiply[image_1, image_2] gives an image in which each pixel is the product of the ...
EntropyFilter   (Built-in Mathematica Symbol)
EntropyFilter[image, r] filters image by replacing every value by the information entropy of the values in its range r neighborhood. EntropyFilter[data, r] applies entropy ...
LaplacianFilter   (Built-in Mathematica Symbol)
LaplacianFilter[image, r] convolves image with a range r Laplacian kernel.LaplacianFilter[image, {r_1, r_2}] uses ranges r_i in the vertical and horizontal ...
New in 7.0: Data Manipulation   (Mathematica Guide)
Building on Mathematica's unified symbolic architecture, Mathematica 7 introduces several major new integrated forms of data manipulation—including large-scale support for ...
ImageRotate   (Built-in Mathematica Symbol)
ImageRotate[image] rotates image counterclockwise by 90\[Degree].ImageRotate[image, side] rotates image to make the top of the image be on the specified ...
Darker   (Built-in Mathematica Symbol)
Darker[color] represents a darker version of the specified color. Darker[color, f] represents a version of the specified color darkened by a fraction f. Darker[image, ...] ...
GaussianFilter   (Built-in Mathematica Symbol)
GaussianFilter[image, r] filters image by convolving with a Gaussian kernel of pixel radius r.GaussianFilter[image, r, {n_1, n_2}] convolves image with a kernel formed from ...
Lighter   (Built-in Mathematica Symbol)
Lighter[color] represents a lighter version of the specified color. Lighter[color, f] represents a version of the specified color lightened by a fraction f. Lighter[image, ...
Image Processing & Analysis   (Mathematica Guide)
Mathematica provides broad and deep built-in support for both programmatic and interactive modern industrial-strength image processing —fully integrated with Mathematica's ...
KarhunenLoeveDecomposition   (Built-in Mathematica Symbol)
KarhunenLoeveDecomposition[{a_1, a_2, ...}] gives the Karhunen\[Dash]Loeve transform {b_1, b_2, ...} of the numerical arrays {a_1, a_2, ...} and the transformation matrix m, ...
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