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Super-resolution image reconstruction is a technique to reconstruct high resolution image or video from a sequence of low resolution images. The super resolution method is summarized in this paper. The frequency domain method, non-uniform interpolation, POCS method, iterative back projection method, Bayesian approach, regularization method are both discussed for super-resolution image reconstruction.
An analysis about point spread function estimation and image clarity evaluation about high-noise out-of-focus blurred image is present. The geometry and spline interpolating solving method are used for point spread function analysis. The FIR filter is adopted to provide low-fluctuating curve for interpolation. Three kinds of image clarity evaluation function are compared for iterative arithmetic selecting...
A decision support system (DSS) for green dyeing enterprise performance evaluation is present in this paper. The DSS system provides not only environmental evaluation about dyeing enterprise, but also enterprise financial performance. The evaluations about environmental and financial aspect are scaled by respective factor. Green development analysis and forecasting are included in the DSS too. The...
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