Research on super-resolution reconstruction algorithm of infrared images of compressive coded aperture

Shaojun Chen; Guihua Fan; Tinghua Zhang; Di Liu

doi:10.1117/12.2524685

10 May 2019 Research on super-resolution reconstruction algorithm of infrared images of compressive coded aperture

Shaojun Chen, Guihua Fan, Tinghua Zhang, Di Liu

Proceedings Volume 11068, Second Symposium on Novel Technology of X-Ray Imaging; 1106824 (2019) https://doi.org/10.1117/12.2524685
Event: Second Symposium on Novel Technology of X-Ray Imaging, 2018, Hefei, China

Abstract

To address the problem of low resolution of infrared imaging system, this paper combined compression coded aperture imaging to study infrared imaging, which can break through the imaging limit of infrared detectors and achieve super-resolution imaging. Compression coded aperture imaging mainly utilizes the sparsity of images, and solves mathematical models through reconstruction algorithms and reconstructs target images with high resolution. Reconstruction algorithm is a vital procedure in the process of compression coded aperture imaging, which determines the reconstruction accuracy and reconstruction speed of the image to some extent. In this paper, the existing compression coded aperture imaging reconstruction algorithms are classified and summarized. In the infrared imaging, the typical algorithm is simulated and verified, which can provide reference for future research in the field of infrared imaging.

Citation Download Citation

Shaojun Chen, Guihua Fan, Tinghua Zhang, and Di Liu "Research on super-resolution reconstruction algorithm of infrared images of compressive coded aperture", Proc. SPIE 11068, Second Symposium on Novel Technology of X-Ray Imaging, 1106824 (10 May 2019); https://doi.org/10.1117/12.2524685

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