红外技术2017，Vol.39Issue(12)：1098-1106,9.
多约束的运动模糊图像盲复原方法
Multi-constraint Blind Restoration Method for Motion Blurred Image
摘要
Abstract
Blind restoration of a motion-blurred image is a long-standing and challenging inverse problem. In order to estimate motion blur kernel (MBK) accurately and obtain a high-quality restoration image, a regularization-based multi-constraint blind restoration method for motion-blurred images is proposed. First, in order to extract the large-scale edges from the image accurately, a sparse image smoothing method, based on gradient selection, is proposed. Then, in the MBK estimation step, based on the inherent properties of the MBK, a multi-constraint regularization model, which combines the extracted large-scale image edges, is proposed. Finally, the multi-constraint regularization model, which is proposed in the MBK estimation step, is addressed by using a half-quadratic variable splitting scheme. Extensive experiments are performed on both synthetic blurred images and real-life blurred images. Experimental results indicate that in comparison with several recent successful representative image blind restoration methods, the proposed method is an improvement not only in terms of subjective vision, but also in terms of objective numerical measurement.关键词
运动模糊图像/盲复原/大尺度图像边缘/运动模糊核/多约束正则化模型Key words
motion blurred image/blind restoration/large scale image edges/motion blur kernel/multi-constraint regularization model分类
信息技术与安全科学引用本文复制引用
卢晶,胡钢,秦新强..多约束的运动模糊图像盲复原方法[J].红外技术,2017,39(12):1098-1106,9.基金项目
陕西省科技计划(工业攻关)项目(2014K05-22). （工业攻关）
