基于暗通道先验和天空保存的视频去雾硬件加速器设计

Zi-Yi Zhao, An-Tia Xiao, Jiun-In Guo
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引用次数: 0

摘要

随着雾霾灾害的日益严重,除霾技术的发展受到人们的高度关注。但目前的软件除雾算法存在计算复杂度过高的问题。我们选择了基于暗信道先验的天空保存[1]算法作为基础软件算法,并设计了硬件加速器来简化数据传输过程和优化数据处理。在NC-Verilog硬件设计环境中实现了加速器的整体运行仿真。该加速器可在0.18$\mu$m CMOS技术下实现75fps@640x480视频除雾。它可以应用于驾驶辅助和监视系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Video Dehazing Hardware Accelerator Design based on Dark Channel Prior with Sky Preservation
With the increasingly serious haze disaster, the development of dehazing technology is highly concerned. But the current software dehazing algorithm suffers from too high computational complexity. We selects the algorithm based on dark channel prior with sky preservation [1] as the base software algorithm, and a hardware accelerator is designed to simplify the data transmission process and optimize the data processing. The whole operation simulation of the accelerator is realized in NC-Verilog hardware design environment. The accelerator can achieve 75fps@640x480 video dehazing under 0.18$\mu$m CMOS technology. It can be applied to driving assistance and surveillance system.
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