计算机应用与软件2017，Vol.34Issue(6)：80-84,155,6.DOI:10.3969/j.issn.1000-386x.2017.06.016
基于光流法运动配准的覆冰图像超分辨率重建
SUPER-RESOLUTION RECONSTRUCTION OF ICING IMAGE BASED ON OPTICAL FLOW MOTION REGISTRATION
摘要
Abstract
Concerning the penumbra of icing image caused by transmission line shaking in power monitoring system, we propose a super-resolution image reconstruction algorithm based on optical flow motion registration.The algorithm firstly estimates the sub-pixel level motion vector between images based on optical flow method, and the forward and backward registration images are obtained.Secondly, the iterative back-projection (IBP) algorithm is used to reconstruct the estimated image respectively.Finally, the output image is obtained by weighting the registration error.Experimental results show that compared with the traditional algorithms, the reconstructed results of this algorithm have obvious improvement in both the PSNR and standard deviation or the no reference image sharpness assessment based on contrast sensitivity (NRSACS), and have better objective and visual effects.关键词
超分辨率重建/光流法/IBP算法/运动配准/覆冰图像Key words
Super-resolution reconstruction/Optical flow method/IBP algorithm/Motion registration/Icing image分类
信息技术与安全科学引用本文复制引用
杨梅..基于光流法运动配准的覆冰图像超分辨率重建[J].计算机应用与软件,2017,34(6):80-84,155,6.基金项目
重庆市教委科学技术研究项目(KJ1501022) （KJ1501022）
重庆高校创新团队建设计划资助项目(CXTDX20 1601034). （CXTDX20 1601034）
