Wavelet shrinkage on paths for scattered data denoising Dennis Heinen and Gerlind Plonka Dedicated to Werner Haußmann in memoriam Abstract. We propose a new algorithm for denoising of multivariate function values given at scattered points in Rd. The method is based on the one-dimensional wavelet transform that is applied along suitably chosen path vectors at each transform level. The idea can be seen as a generalization of the relaxed easy path wavelet transform in [13] to the case of multivariate scattered data.
- path con- struction
- pass filters
- spatial weight at a suitable distance
- corresponding image values
- path vector
- wavelet transform
- points
- function
- values