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22 October 2010 High-speed motion-blurred image restoration based on blind deconvolution
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Due to camera vibration, target motion, atmospheric turbulence and the other factors, the received image is degraded severely in the process of tracking and measurement of high-speed flight aircraft in the atmosphere. Aiming at this problem, optimization of blurred image restoration is proposed based on a blind deconvolution restoration method. This method estimates the direction of point spread function (PSF) in the frequency domain at first, and then estimates the size of PSF by autocorrelation, and finally restores the degraded image by iteration on the appropriate constraint and convergence conditions. The analysis of experimental results show that the method could reduce the phenomenon of the image blur and ringing caused by the uncertainty site of PSF in the process of blind deconvolution and make the system of measurement more precisely and effectively.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lixin Liu, Rong Xu, Ganhua Li, and Zhen Ping "High-speed motion-blurred image restoration based on blind deconvolution", Proc. SPIE 7658, 5th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optoelectronic Materials and Devices for Detector, Imager, Display, and Energy Conversion Technology, 76585Q (22 October 2010);


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