基于2-D公共因子的精确提取的图像盲复原方法
doi: 10.3724/SP.J.1146.2007.00994
Blind Restoration of Blurred Image Based on Precise Extraction of 2-D GCD
-
摘要: 利用2-D公共因子(GCD)提取是实现图像盲复原最有效的方法之一。该文发展了一种2-D公共因子精确提取算法，该算法不需要构建原算法中高阶病态方程，其复杂度大大降低，且提高了对噪声的鲁棒性。仿真实验证实了该文提出的方法优于传统图像复原算法。
-
关键词:
- 图像复原;盲反卷积;2-D公共因子
Abstract: In this paper, the issue of blind image restoration is considered by using 2-D Great Common Divisor (GCD) extraction approach. A precise extraction algorithm of 2-D GCD is proposed. Since no high order ill-posed equation is needed, calculation complexity and noise robustness for the algorithm are improved. Simulation result shows that the proposed algorithm is able to provide a better performance than traditional algorithm. -
邹谋炎. 盲反卷积和信号复原[M]. 第一版, 北京: 国防工业出版社, 2001: 189-194.Zou M Y. Deconvolution and Signal Recovery[M]. First edition,Beijing: National defense industry press, 2001: 189-194.[2]Wai U Q and Chen C H. Blind image restoration forultrasonic C-Scan using constrained 2D-HOS[C]. IEEEInternational Conference on Acoustics Speech and SignalProcessing, Salt Lake, UT, USA, 2001, 6: 3405-3408.[3]Chan T F and Wong C K. Convergence of the alternatingminimization algorithm for blind deconvolution[J]. LinearAlgebra and its Applications, 2000, 316(1-3): 259-285.[4]Kundur D and Hatzinkos D. On the use of lyapunov criteria toanalyze the convergence of blind deconvolution algorithms[J].IEEE Trans. on Signal Processing.1998, 46(11):2918-2925[5]Fiori S. Blind intrinsically stable 2-pole IIR filtering[J].Electronics Letters.2002, 38(23):1482-1483[6]You Y L and Kaveh M. A regularization approach to jointblur identification and image restoration[J]. IEEE Trans. onImage Processing, 1996, 5(3): 417-428.[7]Unnikrishna S and Ben L. Blind image deconvolution using arobust GCD approach. IEEE Trans. on Image Processing[J],1999, 8(2): 295-301.[8]Ben L and Unnikrishna S. Blind image deconvolution using arobust GCD approach[C]. IEEE International Symposium onCircuits and Systems, Hong Kong, 1997: 1184-1188.Ben L and Unnikrishna S. Two-dimensional blinddeconvolution using a robust GCD approach[J]. Proceedingsof the 1997 International Conference on Image Processing,Santa Barbara, USA, 1997: 424-427. -
计量
- 文章访问数: 2980
- HTML全文浏览量: 82
- PDF下载量: 808
- 被引次数: 0
下载:
