Target-characteristics-based equivalent blur model for under-sampled imaging systems
Received:February 24, 2017  Revised:September 08, 2017  download
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Author NameAffiliationE-mail
YANG Cui School of Physics and Optoelectronic Engineering, Xidian University ycxd503@126.com 
YIN Shu-Ting School of Physics and Optoelectronic Engineering, Xidian University  
ZHANG Yan-Tao Northwest institute of Mechanical & Electrical Engineering  
WU Xin   
Abstract:Discrete spatial under-sampling effect of the detector array has a great impact on the imaging results, so the quantitative method of the under-sampling effects is a crucial issue for the performance evaluation of an electro-optical imaging system. Considering the human visual characteristics, a target-characteristics-based equivalent blur model for under-sampled imaging systems is proposed. The introduction into the model of the tolerance of the under-sampling system to the spurious response and the effective frequency spectrum makes the newly proposed model more accurate in the prediction of the target discrimination performance of an under-sampled imaging system.
keywords:electro-optical imaging systems  under-sampling  aliasing signal  the effective target spectrum  the equivalent blur model
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Copyright:《Journal of Infrared And Millimeter Waves》