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.
|Number of pages
|Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
|Published - 2003
|2003 IEEE International Conference on Accoustics, Speech, and Signal Processing - Hong Kong, Hong Kong
Duration: 6 Apr 2003 → 10 Apr 2003