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Super-Resolution in Plenoptic Cameras Using FPGAs

机译:使用FPGA的全光摄像机的超分辨率

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摘要

Plenoptic cameras are a new type of sensor that extend the possibilities of current commercial cameras allowing 3D refocusing or the capture of 3D depths. One of the limitations of plenoptic cameras is their limited spatial resolution. In this paper we describe a fast, specialized hardware implementation of a super-resolution algorithm for plenoptic cameras. The algorithm has been designed for field programmable graphic array (FPGA) devices using VHDL (very high speed integrated circuit (VHSIC) hardware description language). With this technology, we obtain an acceleration of several orders of magnitude using its extremely high-performance signal processing capability through parallelism and pipeline architecture. The system has been developed using generics of the VHDL language. This allows a very versatile and parameterizable system. The system user can easily modify parameters such as data width, number of microlenses of the plenoptic camera, their size and shape, and the super-resolution factor. The speed of the algorithm in FPGA has been successfully compared with the execution using a conventional computer for several image sizes and different 3D refocusing planes.
机译:全光相机是一种新型的传感器,它扩展了当前商用相机的可能性,允许3D重新聚焦或捕获3D深度。全光相机的局限性之一是其有限的空间分辨率。在本文中,我们描述了一种用于全光摄像机的超分辨率算法的快速,专业的硬件实现。该算法是为使用VHDL(超高速集成电路(VHSIC)硬件描述语言)的现场可编程图形阵列(FPGA)设备设计的。借助这项技术,我们通过并行性和流水线架构,利用其极高性能的信号处理能力,获得了数个数量级的加速。该系统是使用VHDL语言的泛型开发的。这允许非常通用且可参数化的系统。系统用户可以轻松修改参数,例如数据宽度,全光摄像机微透镜的数量,其大小和形状以及超分辨率因子。 FPGA中算法的速度已与使用常规计算机执行几种图像尺寸和不同3D重聚焦平面的执行速度进行了成功比较。

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