title: Image diffusion using saliency bilateral filter.
abstract: Image diffusion can smooth away noise and small-scale structures while retaining important features, thus improving the performances for many image processing algorithms. In this paper, we present a novel diffusion algorithm for which the filtering kernels vary according to the perceptual saliency of boundaries. The effectiveness of the proposed approach is validated by experiments on various medical images.
authors.affiliation: School of Computer Science, University of Central Florida, Orlando, FL 32816, USA. jxie@cs.ucf.edu
authors.forename: Jun
authors.initials: J
authors.lastname: Xie
authors.forename: Pheng-Ann
authors.initials: PA
authors.lastname: Heng
authors.forename: Mubarak
authors.initials: M
authors.lastname: Shah
mesh_terms: D000465:Algorithms; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D019047:Phantoms, Imaging; D053443:Visible Human Projects