Infrared Image Super-Resolution Reconstruction via Sparse Representation
Zuming Chen, Baolong Guo, Qi Zhang, Cheng Li · Journal of Physics Conference Series · 2018
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.