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28 November 2007 Optimization of sampled imaging system with baseband response squeeze model
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Abstract
When evaluating or designing a sampled imager, a comprehensive analysis is necessary and a trade-off among optics, photoelectric detector and display technique is inevitable. A new method for sampled imaging system evaluation and optimization is developed in this paper. By extension of MTF in sampled imaging system, inseparable parameters of a detector are taken into account and relations among optics, detector and display are revealed. To measure the artifacts of sampling, the Baseband Response Squeeze model, which will impose a penalty for undersampling, is clarified. Taken the squeezed baseband response and its cutoff frequency for favorable criterion, the method is competent not only for evaluating but also for optimizing sampled imaging system oriented either to single task or to multi-task. The method is applied to optimize a typical sampled imaging system. a sensitivity analysis of various detector parameters is performed and the resulted guidelines are given.
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Huaidong Yang, Kexin Chen, Xingyue Huang, Qingsheng He, and Guofan Jin "Optimization of sampled imaging system with baseband response squeeze model", Proc. SPIE 6834, Optical Design and Testing III, 683419 (28 November 2007); https://doi.org/10.1117/12.757650
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