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Jeff Lewis at UCLA told me he teaches principal components with an image reconstruction example. This got me inspired to try it myself.
A snapshot appears below, showing how the image quality improves quickly with a relatively small number of principal components. A full, Sweaved write up is here, making use of the biOps package in R.
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