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• W2169997788 abstract "We investigate central issues such as invertibility, stability, synchronization, and frequency characteristics for nonlinear wavelet transforms built using the lifting framework. The nonlinearity comes from adaptively choosing between a class of linear predictors within the lifting framework. We also describe how earlier families of nonlinear filter banks can be extended through the use of prediction functions operating on a causal neighborhood of pixels. Preliminary compression results for model and real-world images demonstrate the promise of our techniques." @default.
• W2169997788 created "2016-06-24" @default.
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• W2169997788 date "2003-12-01" @default.
• W2169997788 modified "2023-09-27" @default.
• W2169997788 title "Nonlinear wavelet transforms for image coding via lifting" @default.
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• W2169997788 doi "https://doi.org/10.1109/tip.2003.817237" @default.
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