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Nonlinear wavelet transforms for image coding via lifting

delete2003-12-01
delete249
PRE
AI
R
Roger L. Claypoole
G
Geoffrey M. Davis
W
Wim Sweldens
R
Richard G. Baraniuk
DOI：10.1109/TIP.2003.817237delete
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Abstract

Abstract

En 中文
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.
Keywords:
adaptive signal processing
image coding
wavelet transforms
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Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.

Journal

IEEE Transactions on Image Processing cover
IEEE Transactions on Image Processing
IF:
13.7
Papers:
1.0W
Citations:
8.4W

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No organization information available