Image Processing Toolbox    

Transforms


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. The term transform refers to an alternative mathematical representation of an image.
This section defines several important transforms and shows examples of their application to image processing. Topics covered include
Terminology
Provides definitions of image processing terms used in this section
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.


  Computing the Frequency Response of a Filter Terminology