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A simulation framework for the design and evaluation of computational cameras

机译：计算摄像机设计与评估的仿真框架

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摘要

In the emerging field of computational imaging, rapid prototyping of new camera concepts becomes increasingly difficult since the signal processing is intertwined with the physical design of a camera. As novel computational cameras capture information other than the traditional two-dimensional information, ground truth data, which can be used to thoroughly benchmark a new system design, is also hard to acquire. We propose to bridge this gap by using simulation. In this article, we present a raytracing framework tailored for the design and evaluation of computational imaging systems. We show that, depending on the application, the image formation on a sensor and phenomena like image noise have to be simulated accurately in order to achieve meaningful results while other aspects, such as photorealistic scene modeling, can be omitted. Therefore, we focus on accurately simulating the mandatory components of computational cameras, namely apertures, lenses, spectral filters and sensors. Besides the simulation of the imaging process, the framework is capable of generating various ground truth data, which can be used to evaluate and optimize the performance of a particular imaging system. Due to its modularity, it is easy to further extend the framework to the needs of other fields of application. We make the source code of our simulation framework publicly available and encourage other researchers to use it to design and evaluate their own camera designs.~1
机译：在新出现的计算成像领域中，新的相机概念的快速原型设计，因为信号处理与相机的物理设计交织在一起。作为新颖的计算相机捕获除传统的二维信息之外的信息，可以用于彻底基准新系统设计的地面真理数据也很难获取。我们建议通过使用模拟来弥合这个差距。在本文中，我们为计算成像系统的设计和评估提供了一种量身定制的光线跟资框架。我们表明，根据应用，必须准确地模拟传感器和现象中的图像形成，以便在可以省略其他方面的其他方面，以实现有意的结果，而是可以省略。因此，我们专注于准确地模拟计算摄像机的强制性组件，即孔径，镜头，光谱滤波器和传感器。除了对成像过程的模拟之外，框架还能够产生各种地面真理数据，该数据可用于评估和优化特定成像系统的性能。由于其模块化，很容易将框架扩展到其他应用领域的需求。我们将我们的模拟框架的源代码公开可用，并鼓励其他研究人员使用它来设计和评估自己的相机设计。〜1

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