[Paper] CFA Handling and Quality Analysis for Compressive Light Field Camera

RGB color model Light Field Aperture (computer memory) Color filter array Bayer filter Digital camera
DOI: 10.3169/mta.9.25 Publication Date: 2020-12-31T22:14:38Z
ABSTRACT
A light field can carry rich visual information of a real 3-D scene, leading to many attractive applications. However, the acquisition is challenging due large amount data. In our previous work, we proposed an efficient method for this task using coded-aperture camera with convolutional neural network (CNN) which computationally reconstruct from several images acquired different aperture patterns. report two follow-up contributions work. First, integrated color filter array, common in RGB cameras, and related processing into algorithm pipeline. This integration led better reconstruction quality fields. We then analyzed how obtained was affected by complexity also showed possibility analysis predict images.
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