In the mid-wave infrared (MIR) band, large detector arrays are extremely costly and technically difficult to be manufactured. Thus, it is difficult to obtain high-resolution images for a conventional MIR camera. Spatial compressive imaging can improve resolution. However, system errors due to misalignment or optical aberrations degrade reconstruction quality significantly. Another common issue for compressive imaging is the slow imaging speed, which is caused by slow measurement collection and reconstruction processes. To deal with the two issues, we use an imaging calibration method to improve reconstruction quality and a sliding window measurement collection strategy plus a reconstruction algorithm accelerated by parallel computing to fasten the speed. We build a prototype of a compressive imaging camera with an angular resolution 1.17 lp/mrad. A four-bar target is used as an object. We reconstruct a moving scene of size $1280 \times 1024$ with a frame rate 20 frames per second.

中文翻译：

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高分辨率快速中波红外压缩成像

在中波红外（MIR）波段中，大型检测器阵列非常昂贵，而且在技术上难以制造。因此，难以获得用于传统MIR相机的高分辨率图像。空间压缩成像可以提高分辨率。但是，由于未对准或光学像差导致的系统错误会大大降低重建质量。压缩成像的另一个常见问题是成像速度慢，这是由缓慢的测量收集和重建过程引起的。为了解决这两个问题，我们使用成像校准方法来提高重建质量，并使用滑动窗口测量收集策略以及通过并行计算加速的重建算法以加快速度。我们构建了角分辨率为1.17 lp / mrad的压缩成像相机的原型。使用四杆目标作为对象。我们重建了一个移动大小的场景$ 1280 \ times 1024 $，帧速率为每秒20帧。