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A VLSI Neural Network for Color Constancy

Moore, Andrew and Allman, John and Fox, Geoffrey and Goodman, Rodney (1991) A VLSI Neural Network for Color Constancy. In: Advances in Neural Information Processing Systems 3. Advances in Neural Information Processing Systems . No.3. Morgan Kaufmann , San Mateo, CA, pp. 370-376. ISBN 1-55860-184-8. http://resolver.caltech.edu/CaltechAUTHORS:20160119-151416374

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Abstract

A system for color correction has been designed, built, and tested successfully; the essential components are three custom chips built using sub-threshold analog CMOS VLSI. The system, based on Land's Retinex theory of color constancy, produces colors similar in many respects to those produced by the visual system. Resistive grids implemented in analog VLSI perform the smoothing operation central to the algorithm at video rates. With the electronic system, the strengths and weaknesses of the algorithm are explored.


Item Type:Book Section
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http://papers.nips.cc/paper/396-a-vlsi-neural-network-for-color-constancyOrganizationArticle
Additional Information:© 1991 Morgan Kaufmann. We are grateful to many of our colleagues at Cal tech and elsewhere for discussions and support in this endeavor. A.M. was supported by fellowships from the Parsons Foundation and the Pew Charitable Trust and by research assistantships from Office of Naval Research, the Joint Tactical Fusion Program and the Center for Research in Parallel Computation. We are grateful to DARPA for MOSIS fabrication services, and to Hewlett Packard for computing support in the Mead Lab. The California Institute of Technology has filed for a U.S. patent for this and other related work.
Funders:
Funding AgencyGrant Number
Parsons FoundationUNSPECIFIED
Pew Charitable Trust UNSPECIFIED
Office of Naval Research (ONR)UNSPECIFIED
Joint Tactical Fusion ProgramUNSPECIFIED
Center for Research in Parallel ComputationUNSPECIFIED
Defense Advanced Research Projects Agency (DARPA)UNSPECIFIED
Hewlett PackardUNSPECIFIED
Record Number:CaltechAUTHORS:20160119-151416374
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20160119-151416374
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ID Code:63777
Collection:CaltechAUTHORS
Deposited By: Kristin Buxton
Deposited On:19 Jan 2016 23:38
Last Modified:19 Jan 2016 23:38

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