计算机科学
失真(音乐)
人工神经网络
人工智能
深度学习
数据驱动
数据建模
机器学习
计算机视觉
电信
数据库
放大器
带宽(计算)
作者
Julie Buquet,Jocelyn Parent,Jean‐François Lalonde,Simon Thibault
摘要
Data driven approaches have proven very efficient in many vision tasks and are now used for optical parameters optimization in application-specific camera design. A neural network is trained to estimate images or image quality indicators from the optical characteristics. The complexity and entanglement of such optical parameters raise new challenges we investigate in the case of wide-angle systems. We highlight them by establishing a data-driven prediction model of the RMS spot size from the distortion using mathematical or AI-based methods.
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