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Showing 1 to 2 of 2 for “"Image reconstruction--Digital techniques"”.

  1. Cramer-Rao bound analysis of multi-frame blind deconvolution

    … to estimate an object from a blurred and noisy image, characterized how the use of support constraints exploited spatial noise correlations to reduce noise in the estimate of the object. In multi-frame blind deconvolution, the blurring function is unknown and must be estimated along with the …

    unm Repository record for Cramer-Rao bound analysis of multi-frame blind deconvolution (opens in a new tab)

  2. Optimal spectral reconstructions from deterministic and stochastic sampling geometries using compressive sensing and spectral statistical models

    … focuses on the development of high-quality image reconstruction methods from a limited number of Fourier samples using optimized, stochastic and deterministic sampling geometries. Two methodologies are developed: an optimal image reconstruction framework based on Compressive Sensing (CS) …

    unm Repository record for Optimal spectral reconstructions from deterministic and stochastic sampling geometries using compressive sensing and spectral statistical models (opens in a new tab)