The Uncertainty-Aware Fourier Ptychography (UA-FP) framework marks a transformative milestone in computational imaging, revolutionizing the way we address system uncertainties. This innovative ...

Computational imaging is the process of indirectly forming images from measurements using algorithms that rely on a significant amount of computing. In contrast to traditional imaging, computational ...

Design tools for the entire computational imaging pipeline can pave the way for powerful and affordable imaging systems, from assisted driving systems, computer vision-based robots, or high-quality ...

Lying between the infrared and millimeter wave regimes, terahertz waves possess many unique properties, prompting numerous compelling imaging applications, such as non-destructive testing, security ...

Artificial intelligence is poised to transform medical imaging, promising faster diagnoses and greater accuracy.

Machine learning (ML), a growing part of artificial intelligence (AI), uses computers to solve complex tasks — not through programed solutions, but by creating models that can learn from examples.