面向硬件的多曝光融合FPGA实时视频处理方法

Mario Andrea Sangiovanni, F. Spagnolo, P. Corsonello
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引用次数: 0

摘要

本文提出了一种适合于硬件实现和集成在实时视频处理管道中的多曝光融合方法。该方法的灵感来自于Merten算法,该算法通过简单的质量度量(如饱和度和对比度)在多曝光序列中混合图像。然而,为了硬件友好的实现,复杂的拉普拉斯和高斯金字塔计算在这里被更简单的操作所取代。所提出的方法适合集成在针对异构FPGA soc的完整系统中。当在Xilinx Zynq XC7Z020芯片中实现时,它每秒运行94百万像素,仅占用18493 lut,比最先进的设计至少快25%,便宜35.5%。
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Hardware-Oriented Multi-Exposure Fusion Approach for Real-Time Video Processing on FPGA
This paper presents a multi-exposure fusion approach suitable to be hardware implemented and integrated in real-time video processing pipelines. The proposed approach is inspired by the Merten’s algorithm for blending images in a multi-exposure sequence through simple quality measures, such as saturation and contrast. However, for the purpose of a hardware-friendly implementation, complex Laplacian and Gaussian pyramid computations are here replaced with simpler operations. The proposed approach is suitable to be integrated within a complete system targeting heterogeneous FPGA SoCs. When implemented within the Xilinx Zynq XC7Z020 chip, it runs 94 Mega pixels per second and occupies just 18493 LUTs, which is at least 25% faster and 35.5% cheaper than state-of-the-art designs.
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