To address the problem of low resolution of infrared imaging system, this paper combined compression codedaperture imaging to study infrared imaging, which can break through the imaging limit of infrared detectors and achievesuper-resolution imaging. Compression coded aperture imaging mainly utilizes the sparsity of images, and solvesmathematical 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 thereconstruction accuracy and reconstruction speed of the image to some extent. In this paper, the existing compressioncoded aperture imaging reconstruction algorithms are classified and summarized. In the infrared imaging, the typicalalgorithm is simulated and verified, which can provide reference for future research in the field of infrared imaging.
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