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Showing 1 to 8 of 8 for “"Image Correction"”.

  1. Transform Domain Deep Neural Network Layers and Their Applications

    … data compression, representation learning, and image correction. The motivation stems from the increasing demand for accurate and resource-efficient data processing in biomedical and industrial systems, where large-scale sensor data must be transmitted and reconstructed under strict …

    uic

  2. Novel Optical Endoscopes for Early Cancer Diagnosis and Therapy

    … clinically translatable device architecture, and image artefacts were addressed by developing and evaluating image correction algorithms. This technique demonstrated significant potential for delineation of dysplasia in ex vivo samples. Next, a multispectral endoscope capable of imaging multiple …

    cambridge Repository record for Novel Optical Endoscopes for Early Cancer Diagnosis and Therapy (opens in a new tab)

  3. Quantitative Acetone PLIF Measurements of Jet Mixing with Synthetic Jet Actuators

    … technology with a wide range of capabilities. An image correction scheme that improved on current ones was applied to the images acquired to generate quantitative mixing measurements. Both a single jet and coaxial jets were tested, including different velocity ratios for the coaxial jets. The …

    gatech Repository record for Quantitative Acetone PLIF Measurements of Jet Mixing with Synthetic Jet Actuators (opens in a new tab)

  4. Determining the Air Void Parameters of Concrete Using Digital Image Analysis of Polarized Light Micrographs

    … evaluating concrete air void parameters using an image analysis method. A polishing procedure along with a differential interference contrast microscope are used to obtain high contrast images of material constituents, which provide raw data for the image analysis method. Because of the high …

    vt Repository record for Determining the Air Void Parameters of Concrete Using Digital Image Analysis of Polarized Light Micrographs (opens in a new tab)

  5. Learning and evaluating image representations

    … by incorporating domain knowledge. For example, image prediction tasks such as intrinsic image decomposition were approached by thinking about what reflectance and shading look like. In the case of reflectance, a Mondrian image; and in the case of shading, a smooth image. The difficult portion …

    uiuc Repository record for Learning and evaluating image representations (opens in a new tab)

  6. Radiation-induced Deep-level Defects in CCD Imaging and Spectroscopy Sensors

    … silicon lattice of a Charge-Coupled Device (CCD) image or spectroscopy sensor and particularly those defects with energy levels which can trap charge as it passes through a device, ultimately leading to image quality degradation. A novel technique for the study of certain defect levels within the …

    the-open-u Repository record for Radiation-induced Deep-level Defects in CCD Imaging and Spectroscopy Sensors (opens in a new tab)

  7. The Adaptive Optics Lucky Imager: combining adaptive optics and lucky imaging

    One of the highest resolution astronomical images ever taken in the visible were obtained by combining the techniques of adaptive optics and lucky imaging. The Adaptive Optics Lucky Imager (AOLI), being developed at Cambridge as part of a European collaboration, combines these two techniques in a …

    cambridge Repository record for The Adaptive Optics Lucky Imager: combining adaptive optics and lucky imaging (opens in a new tab)

  8. Kalibrace vinětace širokoúhlého objektivu

    Tato bakalářská práce se zabývá problematikou vinětace u širokoúhlých objektivů, která způsobuje ztmavení okrajových částí obrazu a ztrátu obrazové informace. Cílem práce je navrhnout a implementovat alternativní metodu korekce vinětace, která eliminuje potřebu přímého snímání rozsáhlého …

    brno-tech Repository record for Kalibrace vinětace širokoúhlého objektivu (opens in a new tab)