Departamento de Física Fundamental y Experimental, Electrónica y Sistemas, University of La Laguna, Avd. Francisco Sanchez s/n, 38203 La Laguna, Spain.
Sensors (Basel). 2010;10(10):9194-210. doi: 10.3390/s101009194. Epub 2010 Oct 15.
In this paper we describe a fast, specialized hardware implementation of the belief propagation algorithm for the CAFADIS camera, a new plenoptic sensor patented by the University of La Laguna. This camera captures the lightfield of the scene and can be used to find out at which depth each pixel is in focus. The algorithm has been designed for FPGA devices using VHDL. We propose a parallel and pipeline architecture to implement the algorithm without external memory. Although the BRAM resources of the device increase considerably, we can maintain real-time restrictions by using extremely high-performance signal processing capability through parallelism and by accessing several memories simultaneously. The quantifying results with 16 bit precision have shown that performances are really close to the original Matlab programmed algorithm.
在本文中，我们描述了一种针对 CAFADIS 相机的信念传播算法的快速、专用硬件实现，CAFADIS 相机是拉古纳大学（西班牙）的一项新型全光传感器专利技术。该相机可以捕获场景的光场，并可用于确定每个像素的聚焦深度。该算法是使用 VHDL 为 FPGA 设备设计的。我们提出了一种并行和流水线架构，以在不使用外部存储器的情况下实现该算法。尽管该设备的 BRAM 资源大大增加，但我们可以通过并行处理和同时访问多个存储器来利用极高的信号处理性能，从而保持实时限制。使用 16 位精度进行的量化结果表明，性能与原始的 Matlab 编程算法非常接近。
