title: [Fast image denoising based on mathematical morphology].
abstract: There is a contradiction between image denoising and protection of the useful information in the image. To deal with this contradiction, we use the approach of mathematical morphology. In this paper, we expound the method and effectivity of mathmatical morphology in image processing. Based on it, an improved and fast image denoising algorithm is proposed and some experiments have been made to show that this algorithm is simple, effective and feasible.
authors.affiliation: College of Electrical Engineering, Zhejiang University, Hangzhou.
authors.forename: Jian-xia
authors.initials: JX
authors.lastname: Li
authors.forename: Ji-feng
authors.initials: JF
authors.lastname: Guo
authors.forename: Han
authors.initials: H
authors.lastname: Liu
authors.forename: Hao
authors.initials: H
authors.lastname: Luo
authors.forename: Qian-hu
authors.initials: QH
authors.lastname: Zhang
authors.forename: Zhong-fu
authors.initials: ZF
authors.lastname: Yao
mesh_terms: D000465:Algorithms; D016477:Artifacts; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D015233:Models, Statistical; D015203:Reproducibility of Results