Edge-Directed Enhancement Based on the Generalized Radial Hilbert Transform

Edge enhancement is a key part of image processing in order to sharpen the edge and optimize the visual quality of the input image. This paper proposes novel edge-directed enhancement spatial phase filters based on the generalized radial Hilbert transform theory. The simulated results showed that the proposed spatial phase filters are more efficient and flexible for edge-directed enhancement than conventional mathematical morphological edge enhancement algorithms.