Adaptive anisotropic denoising: a bootstrapped procedure
John A. Lee, Arnaud De Decker, Michel Verleysen · 2009
Abstract. Signal denoising proves to be important in many domains such as pattern recognition and image analysis. This paper investigates several refinements of adaptive local filters that rely on local mode finding. These spatial filters are anisotropic and offer the advantage of attenuating noise without smoothing salient signal features such as discontinuities or other sharp transitions. In particular, a bootstrapped procedure is developed and leads to an improvement of the denoising quality without increasing the computational complexity. Experiments with an artificial benchmark allow the quantification of the performance gain. 1