Blind Images Separation Based on Sparse Independent Component Analysis
Jing Hui Wang, Yuan Chao Zhao, Dong Sheng Chen · Advanced materials research · 2013
In this paper, a novel sparse component multi-resolution independent component analysis is presented. This method separates mixed images based on quadratic function of sparse component coefficient. The quadratic function can be interpreted as the time-frequency function or time-scale function. The performance of the algorithm is evaluated by using noisy mixed images data. Experimental results show that the method is feasible.