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Improved motion invariant imaging with time varying shutter functions

机译:具有时变快门功能的改进的运动不变成像

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In motion invariant photography, blur is introduced by a structured movement of the camera during capture. The structured movement results in a uniform blur which simplifies deblur through post-processing for objects moving at different speeds in a single motion plane. However motion invariance depends on the camera speed exceeding the object speed (in the image plane) by a significant amount. This can lead to noisy image results and may be a problem for implementation of the method in practice. We propose the introduction of a time varying shutter transmittance to this recently proposed computational imaging method and demonstrate through simulation how this can improve both the degree of motion invariance and the reconstructed image quality, despite a reduction in optical efficiency. Improvements in the order 6dB are demonstrated for the reconstructed, deblurred images in the presence of moderate noise. The work has the potential to bring motion invariant photography closer to use in real camera product.
机译:在不变量运动摄影中,相机在拍摄过程中的结构化运动会引入模糊。结构化的运动会导致均匀的模糊,通过对在单个运动平面中以不同速度运动的对象进行后处理,简化了模糊处理。但是,运动不变性取决于相机速度大大超过物体速度(在像平面中)。这可能导致嘈杂的图像结果,并且可能是在实践中实施该方法的问题。我们提议将时变百叶窗透射率引入到这种最近提出的计算成像方法中,并通过仿真演示如何尽管降低了光学效率,却可以同时改善运动不变度和重建的图像质量。对于存在适度噪声的重构,去模糊图像,演示了6dB量级的改进。该作品具有使运动不变性摄影更接近在实际相机产品中使用的潜力。

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