Nonlinear wavelet transforms for image coding via lifting
نویسندگان
چکیده
منابع مشابه
Nonlinear wavelet transforms for image coding via lifting
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 pred...
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Ramesh Neelamani December 23, 1998 Project Advisor: Prof. C.S. Burrus ELEC 696 Project Department of Electrical and Computer Engineering, Rice University, Houston, TX 77005. [email protected] Abstract Lifting has traditionally been described in the time/spatial domain and the intuition behind the entire scheme holds in this domain. It is known that the lifting scheme, as conventionally desc...
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Image compression relies on e cient representations of images, and within smooth image regions, the wavelet transform provides such a representation. However, near edges, wavelet coe cients decay slowly and are expensive to code. We focus on improving the transform by incorporating adaptivity. Construction of non-linear lter banks has been discussed [1, 2], but the question of how to utilize th...
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This paper develops two new adaptive wavelet transforms based on the lifting scheme. The lifting construction exploits a spatialdomain, prediction-error interpretation of the wavelet transform and provides a powerful framework for designing customized transforms. We use the lifting construction to adaptively tune a wavelet transform to a desired signal by optimizing data-based prediction error ...
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Roger L. Claypoole, Jr. and Richard G. Baraniuk, Rice University Summary We introduce and discuss biorthogonal wavelet transforms using the lifting construction. The lifting construction exploits a spatial{domain, prediction{error interpretation of the wavelet transform and provides a powerful framework for designing customized transforms. We discuss the application of lifting to adaptive and n...
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ژورنال
عنوان ژورنال: IEEE Transactions on Image Processing
سال: 2003
ISSN: 1057-7149
DOI: 10.1109/tip.2003.817237