This paper addresses the problem of feature enhancement in noisy images, when the
feature is known to be constrained to a manifold. As an example, we approach the
orientation denoising problem via the geometric Beltrami framework for image processing.
The feature (orientation) field is represented accordingly as the embedding of a two
dimensional surface in the spatial-feature manifold. The resulted Beltrami flow is a selective
smoothing process that respects the feature constraint. Orientation diffusion is treated as a …