Adaptive non-local means denoising algorithm for Cone-Beam Computed Tomography projection images

Kuidong Huang, Dinghua Zhang, Kuyu Wang, Mingjun Li

科研成果: 书/报告/会议事项章节会议稿件同行评审

5 引用 (Scopus)

摘要

Aiming at the difficulty of choosing filtering parameters of Non-Local Means (NLM) denoising algorithm for Cone-Beam Computed Tomography (CBCT) projection images, an adaptive NLM denoising algorithm is proposed. First, a simplified noise estimation method based on subblock division is proposed to replace the approach of designating the background region, which can adaptively identify the background region and estimate the noise level when the background region is changed obviously. And then an algorithm of adaptively obtaining filter strengths of projection images is proposed by analyzing the impact of filter strength to filtering result in NLM denoising algorithm, in which the filter strength is adjusted according to the characteristics of current image and the noises in all projection images are suppressed to a similar level. The experimental result shows that the proposed algorithm can accurately estimate the noise level of projection image and markedly improve the slice image quality.

源语言英语
主期刊名Proceedings of the 5th International Conference on Image and Graphics, ICIG 2009
出版商IEEE Computer Society
33-38
页数6
ISBN(印刷版)9780769538839
DOI
出版状态已出版 - 2009
活动5th International Conference on Image and Graphics, ICIG 2009 - Xi'an, Shanxi, 中国
期限: 20 9月 200923 9月 2009

出版系列

姓名Proceedings of the 5th International Conference on Image and Graphics, ICIG 2009

会议

会议5th International Conference on Image and Graphics, ICIG 2009
国家/地区中国
Xi'an, Shanxi
时期20/09/0923/09/09

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