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14

DAGM
2003
Springer

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Rotationally Invariant Wavelet Shrinkage

13 years 9 months ago

Rotationally Invariant Wavelet Shrinkage

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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

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DAGM 2003 | Haar Wavelet Shrinkage | Rotation Invariance | Wavelet Shrinkage |

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Added	06 Jul 2010
Updated	06 Jul 2010
Type	Conference
Year	2003
Where	DAGM
Authors	Pavel Mrázek, Joachim Weickert

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