Published November 1994
| Published
Book Section - Chapter
Open
Diffusion networks for on-chip image contrast normalization
- Creators
-
Perona, Pietro
- Tartagni, Marco
Chicago
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Abstract
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.
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.Attached Files
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Additional details
- Eprint ID
- 29423
- Resolver ID
- CaltechAUTHORS:20120222-155440625
- NSF
- IRI 9306155
- NSF National Young Investigator Award
- Consiglio Nazionale delle Ricerche of Italy
- 204.40.07
- Created
-
2012-02-23Created from EPrint's datestamp field
- Updated
-
2021-11-09Created from EPrint's last_modified field
- Other Numbering System Name
- INSPEC Accession Number
- Other Numbering System Identifier
- 4997535