NMS-Based Blurred Image Sub-Pixel Registration

摘要：

Sub-pixel accurate registration is the challenging aspect of super-resolution reconstruction. However, the blur contained in the low-resolution images will result in inaccurate registration and an unsatisfactory reconstruction result. Therefore, this paper introduces a blurred image sub-pixel registration method based on Non-Maxima Suppression (NMS). By analyzing the relationship between the image edge energy and the registration precision, NMS technology is used to extract the local gradient magnitude maximum point set adaptively, which is used for image registration as strong information. Experimental results show that this method can improve the registration accuracy of blur lowresolution images.

关键词： super-resolution image registration defocus blur NMS

作者: Liu Wei Zhu Hong Han Gui-Jin

作者单位: School of Automation and Information Engineering, XVan University of Technology, Xian, China School of Automation, Xi an University of Posts and Telecommunications Xi an, China

会议类型: 国际会议

会议名称: 2011 International Conference on Image Analysis and Signal Processing(2011第三届图像分析与信号处理国际会议 IASP 2011)

会议地点: 武汉

会议语种:英文

页码: 98-101

在线出版日期: 2011-10-21（万方平台首次上网日期，不代表论文的发表时间）