TY - GEN
T1 - Scene-based nonuniformity correction algorithm for MEMS-based un-cooled IR image system
AU - Dong, Liquan
AU - Liu, Xiaohua
AU - Zhao, Yuejin
AU - Hui, Mei
AU - Zhou, Xiaoxiao
PY - 2009
Y1 - 2009
N2 - Almost two years after the investors in Sarcon Microsystems pulled the plug, the micro-cantilever array based uncooled IR detector technology is again attracting more and more attention because of its low cost and high credibility. An uncooled thermal detector array with low NETD is designed and fabricated using MEMS bimaterial microcantilever structures that bend in response to thermal change. The IR images of objects obtained by these FPAs are readout by an optical method. For the IR images, one of the most problems of FPN is complicated by the fact that the response of each FPA detector changes due to a variety of factors, causing the nonuniformity pattern to slowly drift in time. Thus, it is required to remove the nonuniformity. A scene-based nonuniformity correction algorithm was discussed in this paper, against to the traditional calibration-based and other scene-based techniques, which has the better correct performance; better MSE compared with traditional methods can be obtained. Great compute and analysis have been realized by using the discussed algorithm to the simulated data and real infrared scene data respectively. The experimental results demonstrate, the corrected image by this algorithm not only yields highest Peak Signal-to-Noise Ratio values (PSNR), but also achieves best visual quality.
AB - Almost two years after the investors in Sarcon Microsystems pulled the plug, the micro-cantilever array based uncooled IR detector technology is again attracting more and more attention because of its low cost and high credibility. An uncooled thermal detector array with low NETD is designed and fabricated using MEMS bimaterial microcantilever structures that bend in response to thermal change. The IR images of objects obtained by these FPAs are readout by an optical method. For the IR images, one of the most problems of FPN is complicated by the fact that the response of each FPA detector changes due to a variety of factors, causing the nonuniformity pattern to slowly drift in time. Thus, it is required to remove the nonuniformity. A scene-based nonuniformity correction algorithm was discussed in this paper, against to the traditional calibration-based and other scene-based techniques, which has the better correct performance; better MSE compared with traditional methods can be obtained. Great compute and analysis have been realized by using the discussed algorithm to the simulated data and real infrared scene data respectively. The experimental results demonstrate, the corrected image by this algorithm not only yields highest Peak Signal-to-Noise Ratio values (PSNR), but also achieves best visual quality.
KW - IR Focal Plane Array
KW - MEMS
KW - Microcantilever
KW - Non-uniformity Correction
UR - http://www.scopus.com/inward/record.url?scp=70449574143&partnerID=8YFLogxK
U2 - 10.1117/12.825041
DO - 10.1117/12.825041
M3 - Conference contribution
AN - SCOPUS:70449574143
SN - 9780819477095
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Infrared Systems and Photoelectronic Technology IV
T2 - Infrared Systems and Photoelectronic Technology IV
Y2 - 4 August 2009 through 6 August 2009
ER -