A novel denoising method for infrared image based on bilateral filtering and non-local means

被引：0
作者：
Liu F.-L. [1 ]
Sun M.-Y. [1 ]
Cai W.-N. [1 ]
机构：
[1] Key Laboratory of Computer Vision and System, Ministry of Education of China, Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, School of Computer and Communication Engineering, Tianjin University of Technology, Tianjin
来源：
Optoelectronics Letters | 2017年 / 13卷 / 3期
关键词：
D O I：
10.1007/s11801-017-7007-8
中图分类号：
学科分类号：
摘要：
This paper presents an image denoising method based on bilateral filtering and non-local means. The non-local region texture or structure of the image has the characteristics of repetition, which can be used to effectively preserve the edge and detail of the image. And compared with classical methods, bilateral filtering method has a better performance in denosing for the reason that the weight includes the geometric closeness factor and the intensity similarity factor. We combine the geometric closeness factor with the weight of non-local means, and construct a new weight. Experimental results show that the modified algorithm can achieve better performance. And it can protect the image detail and structure information better. © 2017, Tianjin University of Technology and Springer-Verlag Berlin Heidelberg.
引用
收藏
页码：237 / 240
页数：3
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