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The UDCT is appealing because there is a partial open-source implementation written in Julia on GitHub. We could easily port this to Java, MATLAB, and/or other useful platforms. Whereas the flagship FDCT implementation, CurveLab, is unfortunately not open source.
Major goals of this evaluation are:
Possible improvements in both performance and results/correctness.
Deploy curvelet-based analysis routines in ImageJ and other OSS tools which give scientists improved control over their in toto workflow.
The text was updated successfully, but these errors were encountered:
The Uniform Discrete Curvelet Transform (UDCT) is a possible alternative to the Fast Discrete Curvelet Transform (FDCT). There is also a review paper from 2010 on curvelets.
The UDCT is appealing because there is a partial open-source implementation written in Julia on GitHub. We could easily port this to Java, MATLAB, and/or other useful platforms. Whereas the flagship FDCT implementation, CurveLab, is unfortunately not open source.
Major goals of this evaluation are:
The text was updated successfully, but these errors were encountered: