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Showing 1 to 5 of 5 for “"Compressive Imaging"”.

  1. Information theoretic approach for assessing image fidelity in photon-counting imagers

    The method of photon-counting integral imaging has been introduced recently for three-dimensional object sensing, visualization, recognition and classification of scenes under photon-starved conditions. In this work we present an information-theoretic model for the photon-counting imaging (PCI) …

    unm Repository record for Information theoretic approach for assessing image fidelity in photon-counting imagers (opens in a new tab)

  2. Seeing Beyond Limits with Physics-Informed Priors

    Conventional imaging systems are limited by dimensionality and visibility: standard sensors capture only two-dimensional data, while light diffuses or scatters across surfaces and through complex media. This dissertation reformulates imaging as an interplay of optical encoding and neural decoding. …

    mit Repository record for Seeing Beyond Limits with Physics-Informed Priors (opens in a new tab)

  3. Ionospheric imaging with compressed sensing

    … from compressed sensing can benefit ionospheric imaging in two ways. Compressed sensing suggests signal reconstruction techniques that take advantage of sparsity, offering us new ways of interpreting data, especially for undersampled problems. One example is radar imaging. We explain how …

    uiuc Repository record for Ionospheric imaging with compressed sensing (opens in a new tab)

  4. Advanced imaging via multiplexed sensing and compressive sensing

    This dissertation works on advanced imaging systems using multiplexed sensing and compressive sensing (CS). Conventional cameras (e.g., pin-hole and lens cameras) follow the one-object-point-to-one-image-point or one-to-one (OTO) mapping model. Multipled sensing and compressive sensing attempt to …

    uiuc Repository record for Advanced imaging via multiplexed sensing and compressive sensing (opens in a new tab)