Binary and Rotational Coded-Aperture Imaging for Dynamic Light Fields

Abstract

Coded-aperture imaging has been utilized for compressive light field acquisition; several images are captured using different aperture patterns, and from those images, an entire light field is computationally reconstructed. This method has been extended to dynamic light fields (moving scenes). However, this method assumed that the patterns were gray-valued and of arbitrary shapes. Implementation of such patterns required a special device such as a liquid crystal on silicon (LCoS) display, which made the imaging system costly and prone to noise. To address this problem, we propose the use of a binary aperture pattern rotating along time, which can be implemented with a rotating plate with a hole. We demonstrate that although using such a pattern limits the design space, our method can still achieve a high reconstruction quality comparable to the original method.