Thermal Imaging lags behind conventional RGB sensing in terms of resolution, contrast, signal to noise ratio and other performance metrics. But imaging in the thermal wavebands provides unique opportunities for many many applications such as extremely low-light sensing, autonomous navigation, smart buildings and healthcare. In this project, we will develop theory, algorithms, systems and applications around thermal computational imaging --- by co-design of optics, sensors and machine learning algorithms in the thermal wavebands achieving order of magnitude performance improvements.
|Effective start/end date||10/1/21 → 9/30/24|
- National Science Foundation (IIS-2106786)
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