微扫描技术是在现有红外探测器基础上提升空间分辨率的一种有效方法。各种图像重建算法被用来对获得的微扫描低分辨率图像序列进行重建得到高分辨图像，其中IBP算法相对于POCS，MAP等方法具有计算速度上的优势。但是经典的IBP算法由于使用单一的松弛因子在实际计算中并不能兼顾重建图像的边缘细节和整体噪声，针对此问题提出了一种基于图像边缘细节优化的IBP算法，提高了重建图像的质量。

Microscan is an effective way to improve imaging spatial resolution upon present-existing infrared sensors. It is usually using image reconstruction algorithms to get high-resolution images from low-resolution image sequence, which is acquired from microscan. IBP, an image reconstruction algorithm, has its computing-speed advantages over other algorithms such as POCS and MAP. However, the classic IBP algorithm can’t balance between the image edge’s reconstruction effect and the SNR. So an edge-optimized IBP algorithm is proposed. The experiment results demonstrate that it solves this problem well and improves the reconstruction image quality.