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Superresolution and noise filtering using moving least squares
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Note on N ‐dimensional hermite polynomials
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Least Squares and Robust Estimation of Local Image Structure
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Smoothing by Local Regression: Principles and Methods
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Recursive total least squares algorithm for image reconstruction from noisy, undersampled frames
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Computational methods for local regression
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Enhanced Biggs–Andrews Asymmetric Iterative Blind Deconvolution
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Scattered Data Approximation
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Analytic banded approximation for the discretized free propagator
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Local polynomial reproduction and moving least squares approximation
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Recursive reconstruction of high resolution image from noisy undersampled multiframes
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Video orbits of the projective group a simple approach to featureless estimation of parameters
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Efficient image warping and super-resolution
inferredcites →https://doi.org/10.1109/lsp.2005.856875openalex-snapshot
Simultaneous noise filtering and super-resolution with second-generation wavelets
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On the origin of the bilateral filter and ways to improve it
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High resolution image formation from low resolution frames using delaunay triangulation
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Fast and Robust Multiframe Super Resolution
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Adaptive Varying-Coefficient Linear Models
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Cross-Validatory Choice and Assessment of Statistical Predictions
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Multidimensional image quality measure using singular value decomposition
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Robust Fusion of Irregularly Sampled Data Using Adaptive Normalized Convolution
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