4802-6-2: Frequency Domain and Fourier Transforms
This lecture focused on using the frequency domain to do image compression, and Fourier transforms as a method to implement this.
In theory, an image can be specified from sinusoidal waves, if there are enough of them. When these waves are added together, the result will be an image. Finding the equations for these waves is a method for image compression. The following links provide general information about using the frequency domain:
http://faith.swan.ac.uk/~eederavi/sic/node5.html a web page with information on Frequency Domain and Fourier Transforms. [4]
http://pygarg.ps.umist.ac.uk/ianson/image_analysis/frequency.html a web page about Frequency Domain processing of images. [4]
http://www.dai.ed.ac.uk/HIPR2/freqdom.htm a web page with general information about the Frequency Domain. [2]
A Fourier Transform is a mathematical way of finding the components of a sinusoidal function. The following links contain information on Fourier Transforms
http://www.dai.ed.ac.uk/HIPR2/fourier.htm a web page with information on Fourier transforms and how they relate to image processing.[5]
http://aurora.phys.utk.edu/~forrest/papers/fourier/index.html a web page with general information about Fourier transforms. [4]
http://www.swin.edu.au/astronomy/pbourke/analysis/dft/ another web page with general information, as well as code to implement the transforms. [4]
A rating appears after each link (in square brackets). The rating indicates the level of content provided by the link. A rating of [1] indicates very little content while a
rating of [5] indicates a plethora of content is provided.