抄録
We develop a 2-D image restoration and identification algorithm only using the blurred noisy images without any a priori knowledge of original images. A generalized semicausal stchastic image models are identified by applying the ARMA adaptive algorithm combined with the spectral factorization. Finally, we show experimentally the effectiveness of our proposed blind image restoration algorithm by using monochromatic real images.
