Detail Completion of Low Resolution Images

摘要：

　　In this paper, the multi-frame image is generated by analyzing the visual field motion to restore the detail information of the low-resolution object image. We divide the field of view motion into close, distant linear motions and plane motions that are independent of the horizontal distance from the object. Then the model is improved on the local binarization process, and the practicability of the local adaptive threshold binarization is found, and the ability to integrate the pictures with large difference in gray value is found.

关键词： Magnification conversion gray value averaging local binarization segmentation pixel

作者: Xuwang Li Qi Zhu Hanquan Jin

作者单位: Northeastern University at Qinhuangdao, Qinhuangdao, China Dalian Maritime University, Dalian, China Xian University of Posts & Telecommunications, Xian, China

会议类型: 国际会议

会议名称: 2019 6th International Conference on Machinery, Mechanics, Materials and Computer Engineering (MMMCE 2019)(2019 第六届机械、材料和计算机工程国际会议)

会议地点: 呼和浩特

会议语种:英文

页码: 820-824

在线出版日期: 2019-07-27（万方平台首次上网日期，不代表论文的发表时间）