基于射线光学的全光学捕获反马赛克分析

Yongwei Li, R. Olsson, Mårten Sjöström
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引用次数: 2

摘要

全光相机获得越来越多的关注,因为它捕捉一个场景的4D光场与一个单一的镜头,并使广泛的后处理应用。然而,捕获的原始数据的预处理步骤,如去马赛克,被忽略了。现有的全光学摄像机解码管道大多采用传统摄像机的去马赛克方案。本文采用射线跟踪技术和射线相空间分析方法对微透镜全光相机的采样模式进行了分析。这项工作的目标是通过考虑独特的微透镜阵列设计,展示反马赛克全光学捕获的指导方针和原则。我们证明了全光学相机的采样行为与传统相机的采样行为不同,所需的去马赛克方案是深度相关的。
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AN ANALYSIS OF DEMOSAICING FOR PLENOPTIC CAPTURE BASED ON RAY OPTICS
The plenoptic camera is gaining more and more attention as it captures the 4D light field of a scene with a single shot and enables a wide range of post-processing applications. However, the pre-processing steps for captured raw data, such as demosaicing, have been overlooked. Most existing decoding pipelines for plenoptic cameras still apply demosaicing schemes which are developed for conventional cameras. In this paper, we analyze the sampling pattern of microlens-based plenoptic cameras by ray-tracing techniques and ray phase space analysis. The goal of this work is to demonstrate guidelines and principles for demosaicing the plenoptic captures by taking the unique microlens array design into account. We show that the sampling of the plenoptic camera behaves differently from that of a conventional camera and the desired demosaicing scheme is depth-dependent.
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DEPTH ESTIMATION IN LIGHT FIELD CAMERA ARRAYS BASED ON MULTI-STEREO MATCHING AND BELIEF PROPAGATION LOCAL METHOD OF COLOR-DIFFERENCE CORRECTION BETWEEN STEREOSCOPIC-VIDEO VIEWS DEPTH IMAGE BASED VIEW SYNTHESIS WITH MULTIPLE REFERENCE VIEWS FOR VIRTUAL REALITY ICP WITH DEPTH COMPENSATION FOR CALIBRATION OF MULTIPLE TOF SENSORS 3DTV-CON 2018 Index
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