基于光场成像的数据提取与预处理方法

发布时间：2018-09-03 16:03

【摘要】：光场是空间中同时包含位置和方向信息的四维光辐射场的参数化表示,光场数据的获取为计算成像提供了很多新的发展方向。光场相机能够获取空间四维光场信息,相比传统成像方式多出2个自由度,因而在图像重建过程中,能够获得更加丰富的图像信息。市面上的Lytro Illum相机相对于Lytro1.0相机的成像效果更加丰富,因此利用Lytro Illum光场相机获取四维光场信息,提取出其中的有效光场数据,反演出8bit/pixel的原始四维光场图像数据,并对基于微透镜模型的光场数据进行一系列的算法预处理,从而得到易于理解的标准四维光场矩阵和子光圈图像矩阵,为光场成像技术的数据开发和应用奠定了基础。
[Abstract]:The optical field is a parameterized representation of the four-dimensional optical radiation field which contains position and direction information at the same time. The acquisition of the optical field data provides a lot of new development directions for the computational imaging. The optical field camera can obtain the spatial four-dimensional light field information, which is more than two degrees of freedom compared with the traditional imaging method, so it can obtain more abundant image information in the process of image reconstruction. The Lytro Illum camera on the market is more effective than the Lytro1.0 camera, so we use the Lytro Illum optical field camera to obtain the four-dimensional light field information, extract the effective light field data, and reverse the original four-dimensional optical field image data of 8bit/pixel. A series of algorithms are used to preprocess the light field data based on the microlens model, so that the standard four-dimensional light field matrix and the sub-aperture image matrix can be easily understood, which lays a foundation for the data development and application of the light field imaging technology.
【作者单位】：中国科学院上海技术物理研究所;中国科学院大学;
【基金】：中国科学院上海技术物理研究所导向性基础研究项目(CX-52)资助
【分类号】：TP391.41

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