A blind images separation algorithm
Renjie Liu · Journal of Dalian Maritime University · 2003
In this paper, a closedform images blind separation algorithm is proposed, to solve the problem of blind images separation. Through the observed mixing images, the unknown mixing matrix is estimated through approximate diagonalization by the second characteristic function second derivative matrix and second derivative matrix of its diagonal components summation. The original images can be recovered by the product of the observation images matrix and the inverse matrix of mixing matrix. BSS is reached. No data storage and iteration are needed in this algorithm, which avoids the heavy burden of computation through the high order statistics. The separation results are prominent. Simulation shows good performance.