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Proceedings Paper

Research on super-resolution reconstruction algorithm of infrared images of compressive coded aperture
Author(s): Shaojun Chen; Guihua Fan; Tinghua Zhang; Di Liu
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Paper 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.

Paper Details

Date Published: 10 May 2019
PDF: 7 pages
Proc. SPIE 11068, Second Symposium on Novel Technology of X-Ray Imaging, 1106824 (10 May 2019); doi: 10.1117/12.2524685
Show Author Affiliations
Shaojun Chen, Space Engineering Univ. (China)
Guihua Fan, Space Engineering Univ. (China)
Tinghua Zhang, Space Engineering Univ. (China)
Di Liu, Space Engineering Univ. (China)

Published in SPIE Proceedings Vol. 11068:
Second Symposium on Novel Technology of X-Ray Imaging
Yangchao Tian; Tiqiao Xiao; Peng Liu, Editor(s)

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