WienerFilter[image, r] removes noise from image by applying a range-r Wiener filter.WienerFilter[image, r, ns] assumes an additive noise power value ns.

One of the important features of Mathematica is its ability to give you exact, symbolic, results for computations. There are, however, computations where it is just ...

Repeated patterns. Multiple blanks such as x__ allow you to give patterns in which sequences of arbitrary expressions can occur. The Mathematica pattern repetition operators ...

The Mathematica compiler generates a CompiledFunction expression that contains a sequence of simple instructions for evaluating a Mathematica computation. The compiled ...

Although Diophantine equations provide classic examples of undecidability, Mathematica in practice succeeds in solving a remarkably wide range of such equations—automatically ...

Mathematica's highly optimized filtering capabilities provide a wide range of linear and modern nonlinear local filters, as well as a variety of nonlocal filters, which can ...

Transformation rules in Mathematica let you set local values for symbols, functions, and all other types of expressions. Using rules provides a powerful and extensible method ...

BoxBaselineShift is an option for AdjustmentBox that specifies how much the baseline of the box should be shifted relative to those of neighboring characters.

CellEditDuplicate is an option for Cell which specifies whether the front end should make a copy of the cell before actually applying any changes in its contents that you ...

ColorQuantize[image, n] gives an approximation to image that uses only n distinct colors.