| LIU Feng-lian,SUN Meng-yao,andCAI Wen-na.A novel denoising method for infrared image based on bilateral filtering and non-local means[J].Optoelectronics Letters,2017,13(3):237-240 |
| A novel denoising method for infrared image based on bilateral filtering and non-local means |
| Author Name | Affiliation | | LIU Feng-lian | 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 300384, China | | SUN Meng-yao | 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 300384, China | | andCAI Wen-na | 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 300384, China |
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| Abstract: |
| 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. This work has been supported by the Student’s Platform for Innovation and Entrepreneurship Training Program (No.201510060022). E-mail:lflian@tjut.edu.cn |
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