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Separating Particulate Matter From a Single Microscopic Image

机译:从单个显微图像中分离出颗粒物

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Particulate matter (PM) is the blend of various solid and liquid particles suspended in atmosphere. These submicron particles are imperceptible for usual hand-held camera photography, but become a great obstacle in microscopic imaging. PM removal from a single microscopic image is a highly ill-posed and one of the challenging image denoising problems. In this work, we thoroughly analyze the physical properties of PM, microscope and their inevitable interaction; and propose an optimization scheme, which removes the PM from a high-resolution microscopic image within a few seconds. Experiments on real world microscopic images show that the proposed method significantly outperforms other competitive image denoising methods. It preserves the comprehensive microscopic foreground details while clearly separating the PM from a single monochromatic or color image.
机译:颗粒物(PM)是悬浮在大气中的各种固体和液体颗粒的混合物。这些亚微米颗粒对于普通的手持相机摄影是不可察觉的,但是在显微成像中却成为一个很大的障碍。从单个显微图像中去除PM是病态严重的问题,也是具有挑战性的图像降噪问题之一。在这项工作中,我们彻底分析了PM,显微镜的物理特性以及它们不可避免的相互作用。并提出了一种优化方案,该方案可在几秒钟内从高分辨率显微图像中去除PM。在真实世界的显微图像上进行的实验表明,该方法明显优于其他竞争性图像去噪方法。它保留了全面的微观前景细节,同时将PM与单个单色或彩色图像清晰地分开。

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