Performing an Inverse Fourier Transform Code Snippet

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++

#include <eVision/EasyImage/EFourierTransformer.h>

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#

using eVision;

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

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)