Imaging in scattering media using correlation image sensors and sparse convolutional coding
Imaging in scattering media using correlation image sensors and sparse convolutional coding
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DOI：
10.1364/oe.22.026338
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发表时间：
2014-10-20
期刊：
影响因子：
3.8
通讯作者：
Heidrich, Wolfgang
中科院分区：
文献类型：
--
作者：
Heide, Felix;Xiao, Lei;Heidrich, Wolfgang
相关图像传感器最近已成为飞行时间或距离相机的流行低成本设备。它们通常在单个光路对每个像素有贡献的假设下工作。我们表明，对来自相关传感器的传感器数据进行更全面的分析可以用于分析更复杂环境中的光传输，包括应用于通过散射和混浊介质的成像。该方法的关键是一种新的卷积稀疏编码方法，用于从相关图像传感器中恢复瞬时(飞行中的光)图像。这种方法是通过对复杂瞬变图像的稀疏性进行分析，并推导出一种新的物理激励的具有显著改善的稀疏性的瞬变图像模型来实现的。(C)2014年美国光学学会
Correlation image sensors have recently become popular low-cost devices for time-of-flight, or range cameras. They usually operate under the assumption of a single light path contributing to each pixel. We show that a more thorough analysis of the sensor data from correlation sensors can be used can be used to analyze the light transport in much more complex environments, including applications for imaging through scattering and turbid media. The key of our method is a new convolutional sparse coding approach for recovering transient (light-in-flight) images from correlation image sensors. This approach is enabled by an analysis of sparsity in complex transient images, and the derivation of a new physically-motivated model for transient images with drastically improved sparsity. (C) 2014 Optical Society of America