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 ...

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 ...

TooltipBox[" "]ColorSeparate[image] gives a list of single-channel images corresponding to each of the color channels in image. 8+ColorSeparate[image, colorspace] gives a ...

ContourDetect[image] gives a binary image in which white pixels correspond to the zeros and zero crossings in image. ContourDetect[image, delta] treats values in image that ...

CUDAImageSubtract[img, x] subtracts an amount x from each channel value in img. CUDAImageSubtract[mem, x] subtracts an amount x from each channel value in mem. ...

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

BilateralFilter[image, \[Sigma], \[Mu]] applies a bilateral filter of spatial spread \[Sigma] and pixel value spread \[Mu] to image. TooltipBox["9+"]BilateralFilter[data, ...