3D Wavelet-Based Filter and Method
Abstract
A 3D wavelet-based filter for visualizing and locating structural features of a user-specified linear size in 2D or 3D image data. The only input parameter is a characteristic linear size of the feature of interest, and the filter output contains only those regions that are correlated with the characteristic size, thus denoising the image.
- Inventors:
-
- San Mateo, CA
- San Francisco, CA
- Issue Date:
- Research Org.:
- Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 953467
- Patent Number(s):
- 7412103
- Application Number:
- 10/970,822
- Assignee:
- Lawrence Livermore National Security, LLC (Livermore, CA)
- Patent Classifications (CPCs):
-
G - PHYSICS G06 - COMPUTING G06T - IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- DOE Contract Number:
- W-7405-ENG-48
- Resource Type:
- Patent
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Moss, William C, Haase, Sebastian, and Sedat, John W. 3D Wavelet-Based Filter and Method. United States: N. p., 2008.
Web.
Moss, William C, Haase, Sebastian, & Sedat, John W. 3D Wavelet-Based Filter and Method. United States.
Moss, William C, Haase, Sebastian, and Sedat, John W. Tue .
"3D Wavelet-Based Filter and Method". United States. https://www.osti.gov/servlets/purl/953467.
@article{osti_953467,
title = {3D Wavelet-Based Filter and Method},
author = {Moss, William C and Haase, Sebastian and Sedat, John W},
abstractNote = {A 3D wavelet-based filter for visualizing and locating structural features of a user-specified linear size in 2D or 3D image data. The only input parameter is a characteristic linear size of the feature of interest, and the filter output contains only those regions that are correlated with the characteristic size, thus denoising the image.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2008},
month = {8}
}
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