Accelerated signal encoding and reconstruction using pixon method
Abstract
The method identifies a Pixon element, which is a fundamental and indivisible unit of information, and a Pixon basis, which is the set of possible functions from which the Pixon elements are selected. The actual Pixon elements selected from this basis during the reconstruction process represents the smallest number of such units required to fit the data and representing the minimum number of parameters necessary to specify the image. The Pixon kernels can have arbitrary properties (e.g., shape, size, and/or position) as needed to best fit the data.
- Inventors:
- Issue Date:
- Research Org.:
- Univ. of California, Oakland, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1175360
- Patent Number(s):
- 6895125
- Application Number:
- 10/308,450
- Assignee:
- The Regents of the University of California (Oakland, CA)
- Patent Classifications (CPCs):
-
G - PHYSICS G06 - COMPUTING G06T - IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- DOE Contract Number:
- FG02-87ER40317
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 97 MATHEMATICS AND COMPUTING
Citation Formats
Puetter, Richard, Yahil, Amos, and Pina, Robert. Accelerated signal encoding and reconstruction using pixon method. United States: N. p., 2005.
Web.
Puetter, Richard, Yahil, Amos, & Pina, Robert. Accelerated signal encoding and reconstruction using pixon method. United States.
Puetter, Richard, Yahil, Amos, and Pina, Robert. Tue .
"Accelerated signal encoding and reconstruction using pixon method". United States. https://www.osti.gov/servlets/purl/1175360.
@article{osti_1175360,
title = {Accelerated signal encoding and reconstruction using pixon method},
author = {Puetter, Richard and Yahil, Amos and Pina, Robert},
abstractNote = {The method identifies a Pixon element, which is a fundamental and indivisible unit of information, and a Pixon basis, which is the set of possible functions from which the Pixon elements are selected. The actual Pixon elements selected from this basis during the reconstruction process represents the smallest number of such units required to fit the data and representing the minimum number of parameters necessary to specify the image. The Pixon kernels can have arbitrary properties (e.g., shape, size, and/or position) as needed to best fit the data.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2005},
month = {5}
}
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