Improved Super-resolution Algorithm of Single-frame Image Based on Least Square Method

摘要：

　　In order to improve the quality of single-frame image super-resolution reconstruction,a novel interpolation algorithm based on weighted least squares is proposed.Interpolation pixel can be calculated from different directions by Newton interpolation formula,and get Multiple interpolation results.The interpolation result in the super-solution image can be got by using weighted least squares to fuse all the interpolation results.The weight matrix in the least squares method is determined according to the correlation among the pixels in the original image.Thus,contrasting to the conventional method,it uses more useful information to reconstruct the super-resolution image.Simulation results prove that the method can get the better super-resolution image according to not only visual impression but also the objective evaluation index.

关键词： Super-resolution Interpolation Least square Image process

作者: Shi Chao Xiu Chun-bo Lu Shao-lei

作者单位: Key Laboratory of Advanced Electrical Engineering and Energy Technology, Tianjin polytechnic University, Tianjin 300387, China;School of Electrical Engineering and Automation, Tianjin polytechnic University, Tianjin, 300387, China

会议类型: 国际会议

会议名称: the 25th Chinese Control and Decision Conference(第25届中国控制与决策会议)

会议地点: 贵阳

会议语种:英文

页码: 2648-2651

在线出版日期: 2013-05-01（万方平台首次上网日期，不代表论文的发表时间）