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.

• Type: Conference
• Year: 2003
• Where: DAGM
• Authors: Pavel Mrázek, Joachim Weickert
• Keywords: DAGM 2003, Haar Wavelet Shrinkage, Rotation Invariance, Wavelet Shrinkage