title: [A fast non-local means algorithm for denoising of computed tomography images].
abstract: A fast non-local means image denoising algorithm is presented based on the single motif of existing computed tomography images in medical archiving systems. The algorithm is carried out in two steps of prepossessing and actual possessing. The sample neighborhood database is created via the data structure of locality sensitive hashing in the prepossessing stage. The CT image noise is removed by non-local means algorithm based on the sample neighborhoods accessed fast by locality sensitive hashing. The experimental results showed that the proposed algorithm could greatly reduce the execution time, as compared to NLM, and  effectively preserved the image edges and details.
authors.affiliation: School of Mathematical and Computer Science, Hubei University of Arts and Science, Xiangyang, China. kangchangqing@163.com
authors.forename: Changqing
authors.initials: C
authors.lastname: Kang
authors.forename: Wenping
authors.initials: W
authors.lastname: Cao
authors.forename: Lei
authors.initials: L
authors.lastname: Fang
authors.forename: Li
authors.initials: L
authors.lastname: Hua
authors.forename: Hong
authors.initials: H
authors.lastname: Cheng
mesh_terms: D000465:Algorithms; D014057:Tomography, X-Ray Computed / Q000379:methods*