基于自适应模糊映射图估计的离焦靶标图像盲复原  

Blind Restoration of Defocused Target Images Based on Self-adaptive Blur Map Estimation

作　　者：杨苗 于涛[1] 赵利强[1] 郭永奇 邱科鹏 YANG Miao;YU Tao;ZHAO Li-qiang;GUO Yong-qi;QIU Ke-peng(College of Information Science&Technology,Beijing University of Chemical Technology,Beijing 100029,China)

机构地区：[1]北京化工大学信息科学与技术学院

出　　处：《计算机与现代化》2019年第11期1-6,共6页Computer and Modernization

基　　金：国家重点研发计划资助项目(2017YFF0107303)

摘　　要：为解决靶标图像全局和局部离焦模糊问题,提出一种基于自适应模糊映射图估计的快速盲复原方法。首先,根据尺度空间图像边缘的连续性,自适应选择二次模糊量参考矩阵,并对离焦模糊靶标图像进行二次模糊,然后基于图像边缘差比计算稀疏模糊映射图,利用引导滤波进行插值获取模糊映射图,最后基于光学离焦退化模型建立模糊映射图和模糊退化图像之间的物理关系,实现离焦模糊靶标图像快速复原。实验结果表明,本文方法能够有效恢复离焦模糊靶标图像,增强靶标图像边缘特征,在算法运行效率上有极大优势,避免了迭代算法的高时耗问题,适合实际工业应用。In order to solve the problem of global and local defocused blur of target image,a fast blind restoration method based on self-adaptive blur map estimation is proposed.Firstly,according to the continuity of image edges in the scale space,the re-blur amount matrix is chosen self-adaptively,and the defocused blur target image is re-blurred.Then,the sparse blur map is calculated by the difference ratio in edges between blur and re-blur images,and the blur map is obtained by guided filtering.Finally,the physical relationship between the blur map and defocused target image is established based on the optics focal model,and the defocused blur image is restored quickly.The experimental results show that the proposed method can effectively restore the defocused blur target image and enhance the edge features of the target image,which has great advantages in algorithm operation efficiency and avoids the high time consumption of the iterative algorithm,and is suitable for practical industrial applications.

关 键 词：图像盲复原 离焦模糊 自适应 模糊映射图 边缘特征 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]