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Diffusion networks for on-chip image contrast normalization

Perona, Pietro and Tartagni, Marco (1994) Diffusion networks for on-chip image contrast normalization. In: 1994 Proceedings IEEE International Conference on Image Processing (ICIP-94). IEEE Computer Society Press , Los Alamitos, CA, pp. 1-5. ISBN 0-8186-6952-7.

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A new method for normalizing and quantizing images is presented. The method is based on calculating a local reference frame for the image gray levels. The levels of the reference frame are calculated using biased diffusions that are linked to the original image. The method is conceived to be integrated with sensing elements on the image plane of a camera. Its mathematical properties are analyzed and its performance is experimentally demonstrated. A circuital implementation has been designed, constructed and tested; it consists of a 20 nodes 1-D non-linear resistive grid. Experimental results are shown.

Item Type:Book Section
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Perona, Pietro0000-0002-7583-5809
Additional Information:© 1994 IEEE. Date of Current Version: 06 August 2002. This work was supported by NSF Grant IRI 9306155 on “Geometry driven diffusions”, by an NSF National Young Investigator Award and by scholarship 204.40.07 from the Consiglio Nazionale delle Ricerche of Italy. We are very grateful to Gabriella Tarantello, Jitendra Malik, Jean-Michel Morel, David Mumford, Michele Pavon and Sergio Solimini for discussions Concerning the proofs of the theorems.
Funding AgencyGrant Number
NSFIRI 9306155
NSF National Young Investigator AwardUNSPECIFIED
Consiglio Nazionale delle Ricerche of Italy204.40.07
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INSPEC Accession Number4997535
Record Number:CaltechAUTHORS:20120222-155440625
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Official Citation:Perona, P.; Tartagni, M.; , "Diffusion networks for on-chip image contrast normalization," Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference , vol.1, no., pp.1-5 vol.1, 13-16 Nov 1994 doi: 10.1109/ICIP.1994.413263 URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:29423
Deposited By: Tony Diaz
Deposited On:23 Feb 2012 23:27
Last Modified:03 Oct 2019 03:41

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