Computational imaging: light field technologies, ­compressed sensing, lensless imaging

We push the boundaries of sensor technology and make the invisible visible

Computational imaging involves the joint development of imaging hardware and computer algorithms to create novel imaging systems with unprecedented capabilities. This is made possible by the joint development of image processing, graphics, signal processing and optics.


At the convergence of artificial intelligence, optics, and applied image science, we strive to overcome the limitations of sensor technology by making the invisible visible. We develop next-generation computational imaging, illumination, and neural rendering systems. These have a variety of applications in visual inspection, scientific imaging, and microscopy.

Some of the interesting topics include:

  • advanced algorithms and mathematical techniques,
  • end-to-end optimization of complete inspection systems,
  • methods for image and signal recovery from sparse and degraded data,
  • techniques for non-traditional sensors,
  • methods for dynamic information acquisition and extraction from imaging sensors,
  • generation of training data through sensor-realistic rendering,
  • intelligent lighting technology through light field projection, and
  • highly novel design of imaging systems.

Sample projects and research topics

 

Bidirectional Reflectance Distribution

 

Holographic Wavefront Sensor

 

QmagiC - Quantum Super-Resolution Imaging in Complex Media

 

Light Field Technology