IEEE Transactions on Pattern Analysis and Machine Intelligence · 1991 · 304 citations · 23 references
EngineeringBiomedical EngineeringBiomedical ImagingDigital ImagingOptimizationData RestorationImage QualityImage ReconstructionImage RestorationData SmoothingImage DenoisingImage SmoothingRegularizationSmoothingSmoothing Parameter Selection
The method of regularization is portrayed as providing a compromise between fidelity to the data and smoothness, with the tradeoff being determined by a scalar smoothing parameter. Various ways of choosing this parameter are discussed in the case of quadratic regularization criteria. They are compared algebraically, and their statistical properties are comparatively assessed from the results of all extensive simulation study based on simple images.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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Solutions of Ill-Posed Problems.
John B. Bell, V. Y. Arsenin · Mathematics of Computation · 1978 · 8.2K citations
The Statistical Analysis of Time Series.
T. W. Anderson · Biometrics · 1995 · 2K citations