Statistical independence is one of the most desirable properties of
a coordinate system for representing and modeling images.
In this paper, we propose an algorithm to rapidly construct a coordinate system
"closest" to the statistically independent one from a dictionary of
bases such as the wavelet packets and local Fourier bases.
The criterion is to minimize the sum of the coordinate-wise differential
entropy and is quite different from the Joint Best Basis (JBB) of
Wickerhauser.
We demonstrate the use of the LSDB for image approximation and modeling,
and compare its performance with Karhunen-Loeve Basis (KLB) and JBB.
Get the full paper: PDF file.
Get the official version via doi:10.1109/ACSSC.1998.750958.
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