Multiscale adaptive system for enhancement of an image in X-ray angiography

摘要

A multi-scale approach to enhancement is taken where enhancement masks are generated at different scales and then combined together using a pyramid scheme. Each mask is computed from applying directional sensitive Laplacian kernels, which is responsible for extracting images of low contrast, followed by an adaptive non-linear mapping. This non-linearity is crucial in virtually eliminating edge overshoots. Furthermore, the input image may also be preprocessed by an edge-preserving smoothing filter to reduce the noise effect.