A BPNN based two-step image super-resolution reconstruction method

摘要：

This paper first proposes a simple and effective non uniform interpolation method and a deblurring method based on back propagation neural networks (BPNN). The proposed non-uniform interpolation method and deblurring method are then coupled to constitute a novel two-step superresolution algorithm. The simulated results indicate that the proposed two-step super-resolution method shows better results than classic two-step super-resolution method. Because the non uniform interpolation method is added before the proposed BPNN based deblurring method is performed, the BPNN is expanded to be used in uncontrolled microscanning which has non-uniform shifts between frames.

关键词： super-resolution non-uniform irUerpolation back propagation neural nelworks deblurring

作者: Xuefeng Yang Jinzong Li Dongdong Li Bing Zhu

作者单位: School of Electronics and Information Engineering Harbin Institute of Technology Harbin, China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 595-598

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）