ACCUATE NUMERICAL METHOD FOR TOTAL VARIATION-BASED IMAGE DEBLURRING

摘要：

Total Variation regularization functional is often used to restore an image from blurred image. TV-based method is a nonlinear image reconstruction method. The schemes to handle TV nonlinearity require the solution of a system of linear equations. The systems which arise in TV-based deblurring present some very serious numerical challenges. In this paper, we present a new solver which is Block SSOR-based preconditioned conjugate gradient scheme. It allows for the fast solution of these very large linear systems. Our experiments indicate that our method is capable of producing highly accurate solutions and preserving more edge and object boundaries.

关键词： Tracking Estimation Information fusion Resource management With point size 9

作者: DA-HONG XU RUN XU SHENG WANG

作者单位: ATR Lab, National University of Defence Technology, Changsha 410073,China

会议类型: 国际会议

会议名称: 2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

会议地点: 昆明

会议语种:英文

页码: 2765-2769

在线出版日期: 2008-07-12（万方平台首次上网日期，不代表论文的发表时间）