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Proceedings Paper

The real-time infrared image denoising method of double buffering for microcantilever-based infrared imaging system
Author(s): Cheng Gong; Mei Hui; Liquan Dong; Yuejin Zhao
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Paper Abstract

Micro-electro-mechanical system (MEMS) thermal transducer is a promising technological platform for uncooled IR imaging. We fabricated MEMS infrared focal plane arrays (FPA) based on bi-material micro-cantilever and built an optical-readout infrared imaging system. However as a result of some factors there are a great many of noise in the infrared images. This paper presents a meaningful real-time denoising method base on double buffering. The advantages of this method are not only solving the problem of fluency for real-time infrared image processing, but also improving the noise problem impacting on the quality of infrared imaging. We have applied it to optical-readout infrared imaging system successfully. We present this method and our results in the paper.

Paper Details

Date Published: 20 November 2009
PDF: 7 pages
Proc. SPIE 7510, 2009 International Conference on Optical Instruments and Technology: MEMS/NEMS Technology and Applications, 75100C (20 November 2009);
Show Author Affiliations
Cheng Gong, Beijing Institute of Technology (China)
Mei Hui, Beijing Institute of Technology (China)
Liquan Dong, Beijing Institute of Technology (China)
Yuejin Zhao, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 7510:
2009 International Conference on Optical Instruments and Technology: MEMS/NEMS Technology and Applications
Zhaoying Zhou; Toshio Fukuda; Helmut Seidel; Xinxin Li; Haixia Zhang; Tianhong Cui, Editor(s)

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