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http://dx.doi.org/10.5302/J.ICROS.2012.18.4.314

Robust Least Squares Motion Deblurring Using Inertial Sensor for Strapdown Image IR Sensors  

Kim, Ki-Seung (Agency for Defense Development)
Ra, Sung-Woong (Chungnam National University)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.18, no.4, 2012 , pp. 314-320 More about this Journal
Abstract
This paper proposes a new robust motion deblurring filter using the inertial sensor measurements for strapdown image IR applications. With taking the PSF measurement error into account, the motion blurred image is modeled by the linear uncertain state space equation with the noise corrupted measurement matrix and the stochastic parameter uncertainty. This motivates us to solve the motion deblurring problem based on the recently developed robust least squares estimation theory. In order to suppress the ringing effect on the deblurred image, the robust least squares estimator is slightly modified by adoping the ridge-regression concept. Through the computer simulations using the actual IR scenes, it is demonstrated that the proposed algorithm shows superior and reliable motion deblurring performance even in the presence of time-varying motion artifact.
Keywords
inertial measurement aid motion deblurring; robust least squares estimation; image IR sensor;
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