《计算机应用研究》|Application Research of Computers

硬件优化的高清视频实时去雾算法

Hardware optimized real-time dehazing algorithm for high-definition video

免费全文下载 (已被下载 次)  
获取PDF全文
作者 陆斌,严利民,陈志恒
机构 上海大学 微电子研究与开发中心,上海 200444
统计 摘要被查看 次,已被下载
文章编号 1001-3695(2020)12-060-3807-04
DOI 10.19734/j.issn.1001-3695.2019.07.0318
摘要 去雾技术已经在单幅图像上取得了较大的进展,但是由于时间复杂度较高,无法满足高清视频去雾的实时性要求。针对该问题,提出了基于硬件架构优化的暗通道先验去雾算法,通过硬件导向的双尺度联合滤波法和阈值比较法来简化透射率和大气光值的计算复杂度,同时利用帧间依赖性约束来抑制视频去雾中的闪烁噪声。实验结果表明,所提算法的去雾速度达到了148.2 Mpixel/s,相比软件的方式提高了约55倍,实际对1920×1080分辨率全高清视频的去雾速度达到69 fps,满足实时性要求且去雾质量高。
关键词 视频去雾; 实时; 无闪烁; 硬件加速
基金项目 国家自然科学基金资助项目(61674100)
本文URL http://www.arocmag.com/article/01-2020-12-060.html
英文标题 Hardware optimized real-time dehazing algorithm for high-definition video
作者英文名 Lu Bin, Yan Limin, Chen Zhiheng
机构英文名 Microelectronics R&D Center,Shanghai University,Shanghai 200444,China
英文摘要 Dehazing technology has made great progress on a single image, but due to the high time complexity, it cannot meet the real-time requirements of HD video dehazing. Aiming at this problem, this paper proposed a dark channel prior dehazing algorithm based on hardware architecture optimization. It used the hardware-oriented dual-scale joint filtering method and threshold comparison method to simplify the computational complexity of transmittance and atmospheric light value. At the same time, it used the interframe dependency constraint to suppress the flicker noise in the video defogging. The experimental results show that the dehazing speed of the proposed algorithm reaches 148.2 Mpixel/s, which is about 55 times higher than that implemented by software programming, and the dehazing speed of full HD video at 1920×1080 resolution reaches 69 fps, meeting the real-time requirements and high dehazing quality.
英文关键词 video dehazing; real-time; flicker-free; hardware acceleration
参考文献 查看稿件参考文献
 
收稿日期 2019/7/30
修回日期 2019/9/20
页码 3807-3810
中图分类号 TP391.4
文献标志码 A