Blind image separation through kurtosis maximization
Ning Chen, Phillip L. De Leon · 2001
Blind source separation has been an extremely active area of research for the last few years. Most of the research has been focused on separation of sources from one-dimensional mixture signals such as speech. More recently, separation of two-dimensional sources (images) has been also examined to a limited extent using second-order statistics, information theoretic models and neural networks. We extend a simple kurtosis maximization algorithm, successfully used in separation of instantaneous speech signals, to images. The higher-order statistics-based algorithm is simple and performs relatively well.