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DAGM
2003
Springer

Rotationally Invariant Wavelet Shrinkage

9 years 4 months ago
Rotationally Invariant Wavelet Shrinkage
Abstract. Most two-dimensional methods for wavelet shrinkage are efficient for edge-preserving image denoising, but they suffer from poor rotation invariance. We address this problem by designing novel shrinkage rules that are derived from rotationally invariant nonlinear diffusion filters. The resulting Haar wavelet shrinkage methods are computationally inexpensive and they offer substantially improved rotation invariance.
Pavel Mrázek, Joachim Weickert
Added 06 Jul 2010
Updated 06 Jul 2010
Type Conference
Year 2003
Where DAGM
Authors Pavel Mrázek, Joachim Weickert
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