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 ...
Parallelization is an option for Compile that specifies whether it should create a compiled function that could run in parallel.
We first encountered lists in "Making Lists of Objects" as a way of collecting numbers together. Here, we shall see many different ways to use lists. You will find that lists ...
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 ...
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 ...
Most mathematical functions in Mathematica are set up to apply themselves separately to each element in a list. This is true in particular of all functions that carry the ...
The symbolic language paradigm of Mathematica takes the concept of variables and functions to a new level. In Mathematica a variable can not only stand for a value, but can ...
And
(Built-in Mathematica Symbol) e_1 && e_2 && ... is the logical AND function. It evaluates its arguments in order, giving False immediately if any of them are False, and True if they are all True.
Inner
(Built-in Mathematica Symbol) Inner[f, list_1, list_2, g] is a generalization of Dot in which f plays the role of multiplication and g of addition.