Sampling and the Nyquist rate
Aliasing can arise when you sample a continuous signal or image
•Demo applet http://www.cs.brown.edu/exploratories/freeSoftware/repository/edu/brown/cs/exploratories/applets/nyquist/nyquist_limit_java_plugin.html
•occurs when your sampling rate is not high enough to capture the amount of detail in your image
•formally, the image contains structure at different scales
–called “frequencies” in the Fourier domain
•the sampling rate must be high enough to capture the highest frequency in the image
To avoid aliasing:
•sampling rate > 2 * max frequency in the image
–i.e., need more than two samples per period
•This minimum sampling rate is called the Nyquist rate