Improve thermal IR images using neural net to model physics and influence of scene
Improve thermal IR images using neural net to model physics and influence of scene
Thermal Image Processing via Physics-Inspired Deep Networks
arXiv paper abstract https://arxiv.org/abs/2108.07973v1
arXiv PDF paper https://arxiv.org/pdf/2108.07973v1.pdf
GitHub https://github.com/vishwa91/deepir
We introduce DeepIR, a new thermal image processing framework that combines physically accurate sensor modeling with deep network-based image representation.
… images captured by thermal sensors can be factored into slowly changing, … non-uniformities (that can be accurately modeled using physics) and a scene-specific radiance flux
… DeepIR requires neither training data nor periodic ground-truth calibration with a known black body target
… demonstrate the power of … DeepIR by developing new denoising and super-resolution algorithms that exploit multiple images of the scene captured with camera jitter.
… demonstrate that DeepIR can perform high-quality non-uniformity correction with as few as three images, achieving a 10dB PSNR improvement over competing approaches.
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