The real-time infrared image denoising method of double buffering for microcantilever-based infrared imaging system

Gong Cheng*, Hui Mei, Dong Liquan, Zhao Yuejin

*Corresponding author for this work

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

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.

Original languageEnglish
Title of host publication2009 International Conference on Optical Instruments and Technology - MEMS/NEMS Technology and Applications, OIT 2009
DOIs
Publication statusPublished - 2009
Event2009 International Conference on Optical Instruments and Technology, OIT 2009 - Shanghai, China
Duration: 19 Oct 200921 Oct 2009

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume7510
ISSN (Print)0277-786X

Conference

Conference2009 International Conference on Optical Instruments and Technology, OIT 2009
Country/TerritoryChina
CityShanghai
Period19/10/0921/10/09

Keywords

  • Denoising
  • Double buffer
  • Infrared image
  • Microcantilever
  • Real-time

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