Wu Zimu, Wang Xia
Opt Express. 2020 Mar 16;28(6):8541-8559. doi: 10.1364/OE.381523.
As a super-resolution imaging method, high-resolution medium wave infrared (MWIR) images can be obtained from a low-resolution focal plane array-based (FPA) sensor using compressive imaging (CI) technology. As a common problem in MWIR FPA imaging, the non-uniformity reduces image quality, which is turning worse in MWIR FPA CI. This paper investigates the source of the non-uniformity of MWIR FPA CI, both in the captured low-resolution MWIR images and in the reconstructed high-resolution ones. According to the system model and the image super-resolution computation process of FPA CI, we propose a calibration-based non-uniformity correction (NUC) method for MWIR FPA CI. Based on the actual MWIR FPA CI system, the effectiveness and practicability of the proposed NUC method are verified, obtaining better results than the traditional method. According to the theoretical analysis and experimental results, the particularities of the non-uniformity in MWIR FPA CI are discovered and discussed, which have certain great guiding significance and practical value.
作为一种超分辨率成像方法，使用压缩成像（CI）技术可以从基于低分辨率焦平面阵列（FPA）的传感器获得高分辨率中波红外（MWIR）图像。作为MWIR FPA成像中的一个常见问题，非均匀性会降低图像质量，在MWIR FPA CI中这种情况会变得更糟。本文研究了MWIR FPA CI非均匀性的来源，包括在捕获的低分辨率MWIR图像和重建的高分辨率图像中。根据FPA CI的系统模型和图像超分辨率计算过程，我们提出了一种基于校准的MWIR FPA CI非均匀性校正（NUC）方法。基于实际的MWIR FPA CI系统，验证了所提出的NUC方法的有效性和实用性，获得了比传统方法更好的结果。根据理论分析和实验结果，发现并讨论了MWIR FPA CI中非均匀性的特殊性，具有一定的重要指导意义和实用价值。
