title: Nonlinear wavelet transforms for image coding via lifting.
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.
authors.affiliation: Department of Electrical and Computer Engineering, Air Force Institute of Technology, Wright-Patterson AFB, OH 45433-7765, USA. r.claypoole@ieee.org
authors.forename: Roger L
authors.initials: RL
authors.lastname: Claypoole
authors.forename: Geoffrey M
authors.initials: GM
authors.lastname: Davis
authors.forename: Wim
authors.initials: W
authors.lastname: Sweldens
authors.forename: Richard G
authors.initials: RG
authors.lastname: Baraniuk