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Showing 1 to 4 of 4 for “"Ill-Posed Poisson Imaging Problems"”.

  1. REGULARIZATION PARAMETER SELECTION METHODS FOR ILL POSED POISSON IMAGING PROBLEMS

    A common problem in imaging science is to estimate some underlying true image given noisy measurements of image intensity. When image intensity is measured by the counting of incident photons emitted by the object of interest, the data-noise is accurately modeled by a Poisson distribution, which …

    montana-tech Repository record for REGULARIZATION PARAMETER SELECTION METHODS FOR ILL POSED POISSON IMAGING PROBLEMS (opens in a new tab)

  2. REGULARIZATION PARAMETER SELECTION METHODS FOR ILL POSED POISSON IMAGING PROBLEMS

    A common problem in imaging science is to estimate some underlying true image given noisy measurements of image intensity. When image intensity is measured by the counting of incident photons emitted by the object of interest, the data-noise is accurately modeled by a Poisson distribution, which …

    montana Repository record for REGULARIZATION PARAMETER SELECTION METHODS FOR ILL POSED POISSON IMAGING PROBLEMS (opens in a new tab)

  3. REGULARIZATION METHODS FOR ILL-POSED POISSON IMAGING

    … coupled device (CCD) camera is predominantly of Poisson type. This motivates the use of the negative logarithm of the Poisson likelihood in place of the ubiquitous least squares t-to-data. However, if the underlying mathematical model is assumed to have the form z = Au, where A is a linear, …

    montana-tech Repository record for REGULARIZATION METHODS FOR ILL-POSED POISSON IMAGING (opens in a new tab)

  4. REGULARIZATION METHODS FOR ILL-POSED POISSON IMAGING

    … coupled device (CCD) camera is predominantly of Poisson type. This motivates the use of the negative logarithm of the Poisson likelihood in place of the ubiquitous least squares t-to-data. However, if the underlying mathematical model is assumed to have the form z = Au, where A is a linear, …

    montana Repository record for REGULARIZATION METHODS FOR ILL-POSED POISSON IMAGING (opens in a new tab)