Recurrent Super-Resolution Method for Enhancing Low Quality Thermal Facial Data. (arXiv:2209.10489v1 [cs.CV])

The process of obtaining high-resolution images from single or multiple
low-resolution images of the same scene is of great interest for real-world
image and signal processing applications. This study is about exploring the
potential usage of deep learning based image super-resolution algorithms on
thermal data for producing high quality thermal imaging results for in-cabin
vehicular driver monitoring systems. In this work we have proposed and
developed a novel multi-image super-resolution recurrent neural network to
enhance the resolution and improve the …

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