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Proceedings Paper

The image denoising method for MEMS based uncooled infrared imaging system
Author(s): Huishi Zhu; Yuejin Zhao; Liquan Dong; Xiaohua Liu; Xiaomei Yu; Cheng Gong; Mei Hui
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Paper Abstract

The uncooled infrared imaging based on MEMS has more and more broad space for development in recent years. An uncooled thermal detector array was designed and set up using bi-material micro-cantilever structures, which can bend with the temperature change. The effective image points of objects' infrared images which are read out by an optical method from this thermal detector array are discrete. For this reason, the output image should be filtered based on the gray mean value of square window, firstly. Then, each point of image can be decided to assign zero or restore the initial gray, according to the threshold of gray value summation of the filtered image's single direction template. Comprehensive two directions' data that is in horizontal and vertical, the final result is achieved. The experimental results demonstrate, this algorithm can remove noise well without losing the details of objects' effective image points.

Paper Details

Date Published: 4 November 2010
PDF: 9 pages
Proc. SPIE 7854, Infrared, Millimeter Wave, and Terahertz Technologies, 78540O (4 November 2010); doi: 10.1117/12.870218
Show Author Affiliations
Huishi Zhu, Beijing Institute of Technology (China)
Yuejin Zhao, Beijing Institute of Technology (China)
Liquan Dong, Beijing Institute of Technology (China)
Xiaohua Liu, Beijing Institute of Technology (China)
Xiaomei Yu, Peking Univ. (China)
Cheng Gong, Beijing Institute of Technology (China)
Mei Hui, Beijing Institute of Technology (China)

Published in SPIE Proceedings Vol. 7854:
Infrared, Millimeter Wave, and Terahertz Technologies
Cunlin Zhang; Xi-Cheng Zhang; Peter H. Siegel; Li He; Sheng-Cai Shi, Editor(s)

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