Image Processing Toolbox User's Guide |

The usual mathematical representation of an image is a function of two spatial variables: . The value of the function at a particular location represents the intensity of the image at that point. This is called the

This chapter defines several important transforms and shows examples of their application to image processing.

Fourier Transform |
Defines the Fourier transform and some of its applications in image processing |

Discrete Cosine Transform |
Describes the discrete cosine transform (DCT) of an image and its application, particularly in image compression |

Radon Transform |
Describes how the Image Processing Toolbox `radon` function computes projections of an image matrix along specified directions |

Fan-Beam Projection Data |
Describes how the Image Processing Toolbox `radon` function computes projections of an image matrix along specified directions |

Computing the Frequency Response of a Filter | Fourier Transform |

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