Blind multichannel image restoration using subspace based method

We address the problem of image restoration in a multichannel system degraded by unknown blurs and additive noise. To identify the unknown blurs, modelled as FIR channels, we propose a subspace based method which exploits an orthogonality property between signal and noise subspaces. Finally, to demonstrate the performance of the proposed method, we run simulations and compare the results with those of the cross relation method.