Abstract

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Title:: Progress in medical image denoising technology based on local and nonlocal filtering

Author(s):: SUN Chang; ZHANG Chao; College of Medicine, Anhui University of Science and Technology, Huainan 232001, China

Keywords:: ; Keywords: medical image; denoising technology; local denoising; nonlocal filtering; review

Abstract:: Medical image has important reference values for clinical diagnosis. In order to obtain high quality medical images and achieve the purpose of clearly identifying the features of pathological regions, denoising technology has become an important study topic. Firstly, the imaging principle of medical equipments and the types of noise were introduced briefly. Then several commonly used denoising methods were expounded based on local and nonlocal classification. The principle, merits and demerits, improvement method and application range of nonlocal means filtering algorithm were mainly introduced. Finally, the main problems of the denoising technology were summarized and prospects of potential future research directions were put forward. The combination of nonlocal and local filtering technology may bring new ideas for a general medical image denoising technology.