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    Nonlinear Wavelet Transforms for Image Coding via Lifting

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    Author
    Claypoole, Roger L.; Davis, Geoffrey; Sweldens, Wim; Baraniuk, Richard G.
    Date
    2003-12-01
    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.
    Description
    Journal Paper
    Citation
    R. L. Claypoole, G. Davis, W. Sweldens and R. G. Baraniuk, "Nonlinear Wavelet Transforms for Image Coding via Lifting," IEEE Transactions on Image Processing, vol. 12, no. 12, 2003.
    Published Version
    http://dx.doi.org/10.1109/TIP.2003.817237
    Keyword
    compression; DSP for Communications; compression
    Type
    Journal article
    Citable link to this page
    https://hdl.handle.net/1911/19809
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    • DSP Publications [508]
    • ECE Publications [1442]

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    Home | FAQ | Contact Us | Privacy Notice | Accessibility Statement
    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
    Mailing Address: MS-44, P.O.BOX 1892, Houston, Texas 77251-1892
    Site Map