An improved regularization approach for blind restoration of multichannel imagery
Zhuang Jinlian, Xia You Sheng · 2011
In this paper, an improved regularization approach for blind restoration of multichannel imagery is presented, based on a least absolute derivation (LAD) estimation. An efficient iterative algorithm is proposed for blind multiple-input/single-output image restoration. Compared with conventional multichannel blind image restoration algorithms, the proposed algorithm is suitable for blind image restoration under non-Guassian noise environments. Experimental results show that the proposed algorithm can obtain a better image estimate than related blind image restoration algorithms.