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A Practical One-Shot Multispectral Imaging System Using a Single Image Sensor

机译:使用单个图像传感器的实用单发多光谱成像系统

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摘要

Single-sensor imaging using the Bayer color filter array (CFA) and demosaicking is well established for current compact and low-cost color digital cameras. An extension from the CFA to a multispectral filter array (MSFA) enables us to acquire a multispectral image in one shot without increased size or cost. However, multispectral demosaicking for the MSFA has been a challenging problem because of very sparse sampling of each spectral band in the MSFA. In this paper, we propose a high-performance multispectral demosaicking algorithm, and at the same time, a novel MSFA pattern that is suitable for our proposed algorithm. Our key idea is the use of the guided filter to interpolate each spectral band. To generate an effective guide image, in our proposed MSFA pattern, we maintain the sampling density of the -band as high as the Bayer CFA, and we array each spectral band so that an adaptive kernel can be estimated directly from raw MSFA data. Given these two advantages, we effectively generate the guide image from the most densely sampled -band using the adaptive kernel. In the experiments, we demonstrate that our proposed algorithm with our proposed MSFA pattern outperforms existing algorithms and provides better color fidelity compared with a conventional color imaging system with the Bayer CFA. We also show some real applications using a multispectral camera prototype we built.
机译:对于当前的紧凑型和低成本彩色数码相机,使用拜耳彩色滤光片阵列(CFA)和去马赛克技术的单传感器成像已得到很好的确立。从CFA扩展到多光谱滤镜阵列(MSFA),使我们能够一次拍摄多光谱图像,而不会增加尺寸或成本。但是,由于MSFA中每个光谱带的采样非常稀疏,因此MSFA的多光谱去马赛克一直是一个难题。在本文中,我们提出了一种高性能的多光谱去马赛克算法,同时,提出了一种适用于我们提出的算法的新型MSFA模式。我们的关键思想是使用导引滤波器对每个光谱带进行插值。为了生成有效的引导图像,在我们提出的MSFA模式中,我们将-band的采样密度保持与Bayer CFA一样高,并且对每个光谱带进行排列,以便可以直接从原始MSFA数据中估算出自适应内核。鉴于这两个优点,我们使用自适应内核从最密集的采样带有效地生成了引导图像。在实验中,我们证明了与带有Bayer CFA的常规彩色成像系统相比,带有MSFA模式的算法优于现有算法,并且具有更好的色彩保真度。我们还使用构建的多光谱相机原型展示了一些实际应用。

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