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Compressive Light Field Imaging

机译:压缩光场成像

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摘要

Light field imagers such as the plenoptic and the integral imagers inherently measure projections of the four dimensional (4D) light field scalar function onto a two dimensional sensor and therefore, suffer from a spatial vs. angular resolution trade-off. Programmable light field imagers, proposed recently, overcome this spatio-angular resolution trade-off and allow high-resolution capture of the (4D) light field function with multiple measurements at the cost of a longer exposure time. However, these light field imagers do not exploit the spatio-angular correlations inherent in the light fields of natural scenes and thus result in photon-inefficient measurements. Here, we describe two architectures for compressive light field imaging that require relatively few photon-efficient measurements to obtain a high-resolution estimate of the light field while reducing the overall exposure time. Our simulation study shows that, compressive light field imagers using the principal component (PC) measurement basis require four times fewer measurements and three times shorter exposure time compared to a conventional light field imager in order to achieve an equivalent light field reconstruction quality.
机译:诸如全光成像器和积分成像器之类的光场成像器固有地测量了四维(4D)光场标量函数在二维传感器上的投影,因此要在空间分辨率与角分辨率之间进行权衡。最近提出的可编程光场成像器克服了这种空间角度分辨率的折衷,并允许以更长的曝光时间为代价,通过多次测量来高分辨率捕获(4D)光场功能。然而,这些光场成像器没有利用自然场景的光场中固有的空间角相关性,因此导致光子效率低下的测量。在这里,我们描述了两种用于压缩光场成像的体系结构,这些体系结构需要相对较少的光子有效测量即可获得光场的高分辨率估计,同时减少总体曝光时间。我们的模拟研究表明,与传统的光场成像仪相比,使用主成分(PC)测量基础的压缩光场成像仪所需的测量量少四倍,曝光时间缩短三倍,以实现同等的光场重建质量。

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