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Stereoscopic Dark Flash for Low-light Photography

机译:低光摄影的立体暗闪光

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In this work, we present a camera configuration for acquiring "stereoscopic dark flash" images: a simultaneous stereo pair in which one camera is a conventional RGB sensor, but the other camera is sensitive to near-infrared and near-ultraviolet wavelengths instead of red and blue. When paired with a "dark" flash (i.e., one emitting near-infrared and near-ultraviolet light, but no visible light) this camera allows us to capture a flash/no-flash image pair at the same time, all without disturbing any human subjects or onlookers with a dazzling visible flash. We present a hardware prototype of this camera that approximates an idealized camera, and an imaging procedure that let us acquire dark flash stereo pairs that closely resemble those we would get from that idealized camera. We then present a technique for fusing these stereo pairs, first by performing registration and warping, and then by using recent advances in hyperspectral image fusion and deep learning to produce a final image. Because our camera configuration and our data acquisition process allow us to capture true low-noise long exposure RGB images alongside our dark flash stereo pairs, our learned model can be trained end-to-end to produce a fused image that retains the color and tone of a real RGB image while having the low-noise properties of a flash image.
机译:在这项工作中,我们介绍了一种用于获取“立体暗闪光”图像的相机配置:一个同时立体声对,其中一个相机是传统的RGB传感器,但另一台相机对近红外和近紫外波长而不是红色敏感和蓝色。当与“暗”闪光(即,一个发出近红外和近紫外线)配对时,此相机允许我们同时捕获闪光/无闪存图像对,所有情况都不会打扰任何人类受试者或旁观者用令人眼花缭乱的可见闪光。我们介绍了这种相机的硬件原型,近似于理想化的相机,以及让我们获取黑暗闪光立体对的成像过程,这些过程非常像我们将从那些理想化的相机获得的那些。然后,我们展示一种用于融合这些立体对的技术,首先通过执行登记和翘曲,然后通过在高光谱图像融合和深度学习中使用最近的进步来产生最终图像。因为我们的相机配置和我们的数据采集过程允许我们捕获真正的低噪声长曝光RGB图像与我们的黑暗闪光立体对旁边,我们的学习模型可以接受终端到底,以产生保留颜色和音调的融合图像实际RGB图像同时具有闪存图像的低噪声属性。

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