CUDAImageMultiply
This feature is not supported on the Wolfram Cloud.

CUDAImageMultiply[img,x]
multiplies an amount x to each channel value in img.

CUDAImageMultiply[mem,x]
multiplies an amount x to each channel value in mem.

CUDAImageMultiply[img1,img2]
gives an image in which each pixel is the product of the corresponding pixels in img1 and img2.

CUDAImageMultiply[mem1,mem2]
gives a CUDAMemory in which each pixel is the product of the corresponding pixels in mem1 and mem2.

DetailsDetails

  • The CUDALink application must be loaded using Needs["CUDALink`"].
  • CUDAImageMultiply works with binary, grayscale, and other images.
  • CUDAImageMultiply works with CUDAMemory and lists.
  • CUDAImageMultiply[image1,x] is equivalent to ImageMultiply[image1,x] and CUDAImageDivide[image1,1/x].
  • The image returned by CUDAImageMultiply[image,] has the same dimensions as image.
  • image1 and image2 must be the same dimensions in CUDAImageMultiply[image1,image2].
  • If image2 is a single-channel image, each channel of image1 is multiplied by image2 in CUDAImageMultiply[image1,image2].
  • In CUDAImageMultiply[image,x], the number x is normally in the range 0 to 1.
  • CUDAImageMultiply[image,x] gives an image with the same underlying data type as image, clipping or truncating values if necessary.
  • CUDAImageMultiply[image1,image2] gives an image with the type of image1, clipping or truncating values if necessary.
  • The following options can be given:
  • "Device"Automaticdevice used for CUDA computation
    "OutputMemory"NoneCUDAMemory where output is stored

ExamplesExamplesopen allclose all

Basic Examples  (4)Basic Examples  (4)

First, load the CUDALink application:

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This multiplies two images together:

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This multiplies an image with a constant value 2.0:

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Logical AND of two binary images:

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CUDAImageMultiply can be used to multiply rank 2 or 3 lists:

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