Paper
2 October 2007 A new generation of wavelet shrinkage: adaptive strategies based on composition of Lorentz-type thresholding and Besov-type non-threshold shrinkage
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Abstract
This article is a systematic overview of compression, smoothing and denoising techniques based on shrinkage of wavelet coefficients, and proposes an advanced technique for generating enhanced composite wavelet shrinkage strategies.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lubomir Dechevsky, Niklas Grip, and Joakim Gundersen "A new generation of wavelet shrinkage: adaptive strategies based on composition of Lorentz-type thresholding and Besov-type non-threshold shrinkage", Proc. SPIE 6763, Wavelet Applications in Industrial Processing V, 676304 (2 October 2007); https://doi.org/10.1117/12.738033
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Wavelets

Composites

Fractal analysis

Statistical analysis

Denoising

Data modeling

Signal processing

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