The image denoising method for MEMS based uncooled infrared imaging system

Huishi Zhu, Yuejin Zhao, Liquan Dong*, Xiaohua Liu, Xiaomei Yu, Cheng Gong, Mei Hui

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationInfrared, Millimeter Wave, and Terahertz Technologies
DOIs
Publication statusPublished - 2010
EventInfrared, Millimeter Wave, and Terahertz Technologies - Beijing, China
Duration: 18 Oct 201020 Oct 2010

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7854
ISSN (Print)0277-786X

Conference

ConferenceInfrared, Millimeter Wave, and Terahertz Technologies
Country/TerritoryChina
CityBeijing
Period18/10/1020/10/10

Keywords

  • Image Denoising
  • MEMS
  • Optical Readout
  • Template
  • Threshold

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