Adaptive Wavelet Transforms for Image Coding
dc.citation.bibtexName | inproceedings | en_US |
dc.citation.conferenceName | Asilomar Conference on Signals, Systems, and Computers | en_US |
dc.contributor.author | Claypoole, Roger L. | en_US |
dc.contributor.author | Davis, Geoffrey | en_US |
dc.contributor.author | Sweldens, Wim | en_US |
dc.contributor.author | Baraniuk, Richard G. | en_US |
dc.contributor.org | Digital Signal Processing (http://dsp.rice.edu/) | en_US |
dc.date.accessioned | 2007-10-31T00:40:08Z | |
dc.date.available | 2007-10-31T00:40:08Z | |
dc.date.issued | 1997-11-01 | en |
dc.date.modified | 2004-11-07 | en_US |
dc.date.note | 2004-11-07 | en_US |
dc.date.submitted | 1997-11-01 | en_US |
dc.description | Conference paper | en_US |
dc.description.abstract | We introduce a new adaptive transform for wavelet-based image coding. The lifting framework for wavelet construction motivates our analysis and provides new insight into the problem. Since the adaptive transform is non-linear, we examine the central issues of invertibility, stability, and artifacts in its construction. We describe a new type of non-linearity: a set of linear predictors are chosen adaptively using a non-linear selection function. We also describe how earlier families of non-linear filter banks can be extended through the use of prediction functions operating on a causal neighborhood. We present preliminary results for a synthetic test image. | en_US |
dc.identifier.citation | R. L. Claypoole, G. Davis, W. Sweldens and R. G. Baraniuk, "Adaptive Wavelet Transforms for Image Coding," 1997. | |
dc.identifier.uri | https://hdl.handle.net/1911/19801 | |
dc.language.iso | eng | |
dc.subject | Lifting | * |
dc.subject | wavelet transform | * |
dc.subject.keyword | Lifting | en_US |
dc.subject.keyword | wavelet transform | en_US |
dc.subject.other | Wavelet based Signal/Image Processing | en_US |
dc.title | Adaptive Wavelet Transforms for Image Coding | en_US |
dc.type | Conference paper | |
dc.type.dcmi | Text |
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