# Performing an Inverse Fourier Transform

This code snippet shows how to compute the inverse Fourier transform to get the original grayscale image (from the frequency domain to the spatial domain).

## C++

```cpp
#include <eVision/EasyImage/EFourierTransformer.h>
```

```cpp
using namespace eVision;

int width = 256;
int height = 256;

// Assuming you have the following loaded image
EFourierImage frequencyImage(EFrequentialDomainFormat_ComplexExtended, width, height);

// Initialize an empty image that will contain spatial information
// Be aware of the specified dimensions
EImageBW8 spatialImage(frequencyImage.GetWidth() / 2, frequencyImage.GetHeight());

// Compute the inverse Fourier transform
EFourierTransformer fourier;
fourier.InverseTransform(frequencyImage, spatialImage);
```

## C#

```cs
using eVision;
```

```cs
int width = 256;
int height = 256;

// Assuming you have the following loaded image
EFourierImage frequencyImage = new EFourierImage(EFrequentialDomainFormat.ComplexExtended, width * 2, height);

// Initialize an empty image that will contain spatial information
// Be aware of the specified dimensions
EImageBW8 spatialImage = new EImageBW8(frequencyImage.Width / 2, frequencyImage.Height);

// Compute the inverse Fourier transform
EFourierTransformer fourier = new EFourierTransformer();
fourier.InverseTransform(frequencyImage, spatialImage);
```

## Python

```py
import eVision

width = 256
height = 256

# Assuming you have the following loaded image
frequencyImage = eVision.EFourierImage(eVision.EFrequentialDomainFormat.ComplexExtended, width * 2, height)

# Initialize an empty image that will contain spatial information
# Be aware of the specified dimensions
spatialImage = eVision.EImageBW8(int(frequencyImage.Width / 2), frequencyImage.Height)

# Compute the inverse Fourier transform
fourier = eVision.EFourierTransformer()
fourier.InverseTransform(frequencyImage, spatialImage)
```