Science and Engineering
University of California, Los Angeles
Los Angeles, CA
The goal of this project is to leverage mathematical advances in order to transform the way imaging and related data are acquired, analyzed and understood. The result will be richer, more meaningful data through significant changes in how experiments are conducted and will lead to widespread advances in the science of imaging. The UCLA team proposes to carry out critical tests of the advantages of sparsification using two diverse sets of experiments in which leading mathematicians work closely with top imaging scientists. If these test cases are successful, the advances will apply broadly across many fields involving imaging. The team is uniquely placed to develop the theory, to carry out the tests, to generalize the results, and to disseminate the resulting tools.
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