Study on the image processing algorithms for optical readout based uncooled MEMS IR imager systems

Li-quan Dong; Xiao-hua Liu; Yue-jin Zhao; Ming Liu

doi:10.1117/12.754862

4 January 2008 Study on the image processing algorithms for optical readout based uncooled MEMS IR imager systems

Li-quan Dong, Xiao-hua Liu, Yue-jin Zhao, Ming Liu

Proceedings Volume 6836, MEMS/MOEMS Technologies and Applications III; 68360U (2008) https://doi.org/10.1117/12.754862
Event: Photonics Asia 2007, 2007, Beijing, China

Abstract

MEMS thermal transducers offer a promising technological platform for un-cooled IR imaging. We report on the fabrication and performance of an optical readout based MEMS IR FPA based on the bimaterial microcantilever. For the IR images of objects obtained by these FPAs, processed by the fast Curvelet transform denoising and inpainting algorithm, the image quality is improved obviously. Great compute and analysis have been realized by using the discussed algorithm to the simulated data. The experimental results demonstrate, better RMSE and highest Peak Signal-to-Noise Ratio (PSNR) compared with traditional methods can be obtained. At last we discuss the factors that determine the ultimate performance of the FPA. And we indicated that one of the unique advantages of the present approach is the scalability to larger imaging arrays.

Citation Download Citation

Li-quan Dong, Xiao-hua Liu, Yue-jin Zhao, and Ming Liu "Study on the image processing algorithms for optical readout based uncooled MEMS IR imager systems", Proc. SPIE 6836, MEMS/MOEMS Technologies and Applications III, 68360U (4 January 2008); https://doi.org/10.1117/12.754862

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available