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
1995
In: NOLTA'95. 1995 international symposium on nonlinear theory and applications. Proceedings. Las Vegas, 1995. Vol. 2..
Intelligent image resolution enhancement by the CNN universal machine and its relevance to TV picture enhancement
A CNN platform to a discrete-time cellular neural network universal machine chip. (Research report of the Analogical and Neural Computing Laboratory DNS-12-1995.)