Intelligent Signal Systems Laboratory at the University of Dayton is a world class research laboratory in image processing and computer vision. Our research focuses on three areas: physical and statistical modeling of image sensors, algorithmic development for exploitation of image data, and making meaningful inferences on the observed scene. The principal investigator is Keigo Hirakawa, an assistant professor at the University of Dayton. Research at ISSL is aimed at understanding the increasingly large role that signal systems play in the real-world. We connect the applied design efforts with the first principle ideas of mathematics and statistics to enable new capabilities in image processing and computer vision.

Statistical Signal Processing

Signal processing and statistics are key tools for information discovery. We accelerate nonlinear filters and develop powerful models that enable detection, prediction, and estimation.

Read More

Image Processing

Our image processing research extends the capabilities of existing sensor hardware and deliver critical technology to advance the next generation sensors.

Read More

Computer Vision

Computer vision is a critical technology for machine intelligence. We advance scene understanding through computational photography and feature extraction.

Read More

Color Science

From scene appearance to spectroscopy, color science widely influences commercial and scientific imaging applications. We recover scene reflectances to determine the identity or the state of the objects.

Read More

Intelligent Signal Systems Laboratory

PI: Keigo Hirakawa, University of Dayton
300 College Park
Dayton, OH 45469-0232

Contact ISSL