Process and device for the analog convolution of images

Boots – shoes – and leggings

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

364819, G06G 712

Patent

active

055218571

ABSTRACT:
A process and device for the analog convolution of images, especially two-dimensional convolution operations of Gaussian type on a set of image pixels represented by voltages. The voltages are applied to a first set of capacitors. For each capacitor, one terminal is connected to a reference voltage; the other terminal is part of a network of nodes, each of which is insulated from the others. The nodes which are adjacent are connected together for a predetermined duration via a second set of uncharged capacitors. The nodes of the network are then insulated from each other again and the second set of capacitors are discharged. The steps of connecting the nodes together, insulating them from each other, and discharging the second set are repeated. Finally, the new voltages on the nodes of the network, which represent the pixels of a convolved image, are read out.

REFERENCES:
patent: 4555770 (1985-11-01), Saga
patent: 4956564 (1990-09-01), Holler et al.
IEEE Proceedings on the International Symposium on Circuits and Systems, vol. 2, Jun. 1988, Espoo, Fin, pp. 1217-1220, Bernard et al.

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Process and device for the analog convolution of images does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Process and device for the analog convolution of images, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Process and device for the analog convolution of images will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-792359

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.