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 ...

CUDAImageAdd[img, x] adds an amount x to each channel value in img. CUDAImageAdd[mem, x] adds an amount x to each channel value in mem. CUDAImageAdd[img 1, img 2] gives an ...

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 ...

ImageDifference[image_1, image_2] gives an image in which each pixel is the absolute difference of the corresponding pixels in image_1 and image_2.

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 ...

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 ...

Building on Mathematica's unified symbolic architecture, Mathematica 7 introduces several major new integrated forms of data manipulation—including large-scale support for ...

MaxDetect[image] gives a binary image in which white pixels correspond to constant extended maxima in image. MaxDetect[image, h] finds extended maxima where the range of ...

RandomImage[max, {width, height}] gives an image of dimensions {width, height} with pseudorandom pixel values generated from a uniform distribution in the range 0 to max. ...

ImageApply[f, image] applies the function f to the list of channel values for each pixel in image. TooltipBox["9+"]ImageApply[f, {image_1, image_2, ...}] applies f to the ...