Infrared Image Super-Resolution Reconstruction via Sparse Representation

Infrared imaging equipment can work at night and in complex environments, but the resolution of infrared image is not good. Super-resolution (SR) is a very important technology in image processing. It can reconstruct the low-resolution image by signal processing without changing the hardware device....

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Bibliographic Details
Published in:Journal of physics. Conference series 2018-08, Vol.1069 (1), p.12171
Main Authors: Chen, Zuming, Guo, Baolong, Zhang, Qi, Li, Cheng
Format: Article
Language:English
Subjects:
Algorithms
Image processing
Image reconstruction
Image resolution
Infrared imagery
Infrared imaging
Interpolation
Physics
Representations
Signal processing
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Summary:Infrared imaging equipment can work at night and in complex environments, but the resolution of infrared image is not good. Super-resolution (SR) is a very important technology in image processing. It can reconstruct the low-resolution image by signal processing without changing the hardware device. This paper presents a novel infrared super-resolution reconstruction algorithm, which is based on sparse representation. Experiment results show that, compared with interpolation based approach, the proposed algorithm shows a better performance in infrared scenarios.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1069/1/012171