Computational Optical Sensing and Processing Laboratory
The main research challenge of our laboratory is to derive precise abstract information or decisions from large complex noisy topological data sets captured by one or multiple optical sensors. We apply special optical arrangements such as different holographic setups and fluorescent illuminations for microscopic imaging, or multi-spectral camera-based patient monitoring systems or wide-angle multi-camera systems in monitoring. The heavy computational load is handled by many-core processor arrays, such as GPUs in desktop applications or embedded low-power systems.
Publication date
1999
JOURNAL OF VLSI SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY, 23 (2-3)., pp. 221-237.
Computer-sensors: spatial-temporal computers for analog array signals, dynamically integrated with sensors
Anisotropic diffusion preprocessing for image compression improvement based on perceptual distortion criteria. (Research report of the Analogical and Neural Computing Laboratory, DNS-4-1999.)
In: MicroNeuro '99. Proceedings of the seventh international conference on microelectronics for neural, fuzzy, and bio-inspired systems. Granada, 1999..
The computational infrastructure for cellular visual microprocessors