An Improved Regularization Approach for Blind Restoration of multichannel Imagery
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 iter-ative algorithm is proposed for blind multiple-input/single-output unage 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.
Zhuang Jinlian Xia You Sheng
College of Mathematics and Computer Science Longyan University, China College of Mathematics and Computer Science Fuzhou University, China
国际会议
2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)
上海
英文
797-800
2011-10-15（万方平台首次上网日期，不代表论文的发表时间）