2019
DOI: 10.1109/access.2019.2953560
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Data-Driven Variable Synthetic Aperture Imaging Based on Semantic Feedback

Abstract: Synthetic aperture imaging, which has been proved to be an effective approach for occluded object imaging, is one of the challenging problems in the field of computational imaging. Currently most of the related researches focus on fixed synthetic aperture which usually accompanies with mixed observation angle and foreground de-focus blur. But the existence of them is frequently a source of perspective effect decrease and occluded object imaging quality degradation. In order to solve this problem, we propose a … Show more

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