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• W2018909497 abstract "In Harten (1996) [32] presented a general framework about multiresolution representation based on four principal operators: decimation and prediction, discretization and reconstruction. The discretization operator indicates the nature of the data. In this work the pixels of a digital image are obtained as the average of a function in some defined cells. A family of Harten cell-average multiresolution schemes based on local polynomial regression is presented. The stability is ensured by the linearity of the operators obtained and the order is calculated. Some numerical experiments are performed testing the accuracy of the prediction operators in comparison with the classical linear and nonlinear methods." @default.
• W2018909497 created "2016-06-24" @default.
• W2018909497 creator A5003107639 @default.
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• W2018909497 date "2014-10-01" @default.
• W2018909497 modified "2023-10-16" @default.
• W2018909497 title "Cell-average multiresolution based on local polynomial regression. Application to image processing" @default.
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• W2018909497 doi "https://doi.org/10.1016/j.amc.2014.07.079" @default.
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