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OwnerEdward Aric Laag, Rafael Ilan Rubensteininventors
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A method for compressed signal and image reconstruction with multiple compressed sensing schemes is disclosed. The method includes obtaining data of a scene to be reconstructed and receiving sampling parameters and one or more compressed sensing schemes to be applied for sampling and reconstruction of the obtained data. The method includes initially reconstructing the data using one or more compressed sensing schemes, in accordance with received sampling parameters and then comparing the reconstructed data results for each of the compressed sensing schemes using a series of built in visual feedback windows, numerical metrics, model-based metrics and other analysis tools. The method allows for inputting either compressed or classically sampled data, enabling two possible operational modes. In either case, this method allows the user to identify the best scheme(s) to meet their specific need. Corresponding electronic device and non-transitory computer-readable medium for data reconstructions with multiple compressed sensing schemes are disclosed.
A method for data reconstruction using compressed sensing schemes, the method comprising:
An electronic device comprising:
A non-transitory computer-readable medium storing program instructions that, when executed by one or more processors, cause the one or more processors to:
Dependencies are inferred from the claim text.