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Optimization of electro-optical imaging system with an image quality measure

We propose a new method to improve the design of electro- optical imaging system using an end-to-end model of the imaging systems and a combination of image quality criteria. Firstly, we used an imaging systems simulator to produce an output image, which is the distorted version of the input scene. Secondly, we calculate an objective quotation for the quality of the output images corresponding to several systems configurations, and compare the results with the human evaluation of image quality. It allows us to calibrate our imaging systems quality measure (ISQM). Finally, the ISQM is used as a tool to improve system design without any human observer evaluation.