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·822· 智能系统学报 第17卷 ZHOU Zuo,ZHANG Jing.Research on enhancement of progress on FPGA-based machine learning hardware ac- dust image based on homomorphic filtering and histo- celeration[J].Chinese journal of computers,2020,43(6): gram equalization[J].China computer communication. 1161-1182 2020,32(23):61-64. [16]刘焰强,戚正伟,管海兵.FPGA加速系统开发工具设 [8]赵春丽,董静薇,徐博,等.融合直方图均衡化与同态滤 计:综述与实践[J].软件学报,2020,31(10): 波的雾天图像增强算法研究).哈尔滨理工大学学报, 3087-3099. 2019,24(6):93-97. LIU Yanqiang,QI Zhengwei,GUAN Haibing.FPGA ZHAO Chunli,DONG Jingwei,XU Bo,et al.Research acceleration system development tools:survey and prac- on finger-image enhancement algorithm based on fusion tice[J].Journal of software,2020,31(10):3087-3099. histogram equalization and homomorphic filtering]. [17刀王涌,肖顺文,郑瑞,等.基于FPGA的实时图像采集 Journal of Harbin University of Science and Technology, 与显示系统设计.西华师范大学学报(自然科学版) 2019,24(6):93-97 2020,41(2:221-226 [9]韩亮.复杂光照下图像去雾算法的研究D].西安:西安 WANG Yong,XIAO Shunwen,ZHENG Rui,et al. 建筑科技大学,2020 Design of real-time image acquisition and display sys- HAN Liang.Research on image defogging algorithm un- tem based on FPGA[J].Journal of China west normal der complex lighting[D].Xi'an:Xi'an University of Ar- university (natural sciences edition),2020,41(2) chitecture and Technology,2020 221-226. [10]朱海辉.夜间视频增强算法研究及硬件设计D].哈尔 [18]张小刚,唐美玲,陈华,等.一种结合双区域滤波和图 滨:哈尔滨工业大学,2017 像融合的单幅图像去雾算法[).自动化学报,2014, ZHU Haihui.The research on night video enhancement 40(8):1733-1739. algorithm and hardware design[D].Harbin:Harbin Insti- ZHANG Xiaogang,TANG Meiling,CHEN Hua,et al.A tute of Technology,2017. dehazing method in single image based on double-area [11]LIU Songtao,HUANG Di,WANG Yunhong.Receptive filter and image fusion[J].Acta automatica sinica,2014, field block net for accurate and fast object detection 40(8:1733-1739 [C]//European Conference on Computer Vision.Cham: [19]高全明,孙俊喜,刘广文,等.基于FPGA的交通视频 Springer,2018:404-419. 快速去雾系统的设计与实现[).电子技术应用,2017, [I2]黎国斌,张剑,林向会,等.基于改进的RFBNet行人检 43(6:71-74 测算法).智能计算机与应用,2021,11(6):173-177. GAO Quanming,SUN Junxi,LIU Guangwen,et al. LI Guobin,ZHANG Jian,LIN Xianghui,et al.Based on Design and implementation on the system of high speed the improved RFBNet pedestrian detection algorithm[J]. fog removal in traffic video images based on FPGA[J]. Intelligent computer and applications,2021,11(6): Application of electronic technique,2017,43(6):71-74. 173-177. [20]韩团军.快速中值滤波算法研究及其FPGA硬件实现 [13]李佐龙,王帮海,卢增.多尺度特征融合重建的行人检 [).电子器件,2017,40(3697-701. 测方法).计算机工程与应用,2021,57(4):176-182. HAN Tuanjun.Research of fast median filtering al- LI Zuolong,WANG Banghai,LU Zeng.Pedestrian de- gorithm and hardware implementation based on tection method based on multi-scale feature fusion and FPGA[J].Chinese journal of electron devices,2017, reconstruction[J].Computer engineering and applica- 40(3):697-701. tions,.2021,57(4):176-182. [21]刘佳敏,何宁.基于改进同态滤波的低对比度图像增 [14]李昕昕,杨林.面向复杂道路场景小尺度行人的实时 强[J.计算机应用与软件,2020,37(3):220-224 检测算法[J].计算机工程与应用,2020,56(22): LIU Jiamin,HE Ning.Low contrast image enhancement 124-131. based on improved homomorphic filtering[J].Computer LI Xinxin,YANG Lin.Real-time detection algorithm for applications and software,2020,37(3):220-224 small-scale pedestrians in complex road scenes[J].Com- [22]蔡秀梅,马今璐,吴成茂,等.基于模糊同态滤波的彩 puter engineering and applications,2020,56(22): 色图像增强算法[J].计算机仿真,2020,37(6): 124-131. 342-346. [15】王超,王腾,马翔,等.基于FPGA的机器学习硬件加 CAI Xiumei,MA Jinlu,WU Chengmao,et al.Color im- 速研究进展).计算机学报,2020,43(6):1161-1182. age enhancement algorithm based on fuzzy homomorph- WANG Chao,WANG Teng,MA Xiang,et al.Research ic filtering[J].Computer simulation,2020,37(6):ZHOU Zuo, ZHANG Jing. Research on enhancement of dust image based on homomorphic filtering and histo￾gram equalization[J]. China computer & communication, 2020, 32(23): 61–64. 赵春丽, 董静薇, 徐博, 等. 融合直方图均衡化与同态滤 波的雾天图像增强算法研究 [J]. 哈尔滨理工大学学报, 2019, 24(6): 93–97. ZHAO Chunli, DONG Jingwei, XU Bo, et al. Research on finger-image enhancement algorithm based on fusion histogram equalization and homomorphic filtering[J]. Journal of Harbin University of Science and Technology, 2019, 24(6): 93–97. [8] 韩亮. 复杂光照下图像去雾算法的研究 [D]. 西安: 西安 建筑科技大学, 2020. HAN Liang. Research on image defogging algorithm un￾der complex lighting[D]. Xi’an: Xi’an University of Ar￾chitecture and Technology, 2020. [9] 朱海辉. 夜间视频增强算法研究及硬件设计 [D]. 哈尔 滨: 哈尔滨工业大学, 2017. ZHU Haihui. The research on night video enhancement algorithm and hardware design[D]. Harbin: Harbin Insti￾tute of Technology, 2017. [10] LIU Songtao, HUANG Di, WANG Yunhong. Receptive field block net for accurate and fast object detection [C]//European Conference on Computer Vision. Cham: Springer, 2018: 404−419. [11] 黎国斌, 张剑, 林向会, 等. 基于改进的 RFBNet 行人检 测算法 [J]. 智能计算机与应用, 2021, 11(6): 173–177. LI Guobin, ZHANG Jian, LIN Xianghui, et al. Based on the improved RFBNet pedestrian detection algorithm[J]. Intelligent computer and applications, 2021, 11(6): 173–177. [12] 李佐龙, 王帮海, 卢增. 多尺度特征融合重建的行人检 测方法 [J]. 计算机工程与应用, 2021, 57(4): 176–182. LI Zuolong, WANG Banghai, LU Zeng. Pedestrian de￾tection method based on multi-scale feature fusion and reconstruction[J]. Computer engineering and applica￾tions, 2021, 57(4): 176–182. [13] 李昕昕, 杨林. 面向复杂道路场景小尺度行人的实时 检测算法 [J]. 计算机工程与应用, 2020, 56(22): 124–131. LI Xinxin, YANG Lin. Real-time detection algorithm for small-scale pedestrians in complex road scenes[J]. Com￾puter engineering and applications, 2020, 56(22): 124–131. [14] 王超, 王腾, 马翔, 等. 基于 FPGA 的机器学习硬件加 速研究进展 [J]. 计算机学报, 2020, 43(6): 1161–1182. WANG Chao, WANG Teng, MA Xiang, et al. Research [15] progress on FPGA-based machine learning hardware ac￾celeration[J]. Chinese journal of computers, 2020, 43(6): 1161–1182. 刘焰强, 戚正伟, 管海兵. FPGA 加速系统开发工具设 计: 综述与实践 [J]. 软件学报, 2020, 31(10): 3087–3099. LIU Yanqiang, QI Zhengwei, GUAN Haibing. FPGA acceleration system development tools: survey and prac￾tice[J]. Journal of software, 2020, 31(10): 3087–3099. [16] 王涌, 肖顺文, 郑瑞, 等. 基于 FPGA 的实时图像采集 与显示系统设计 [J]. 西华师范大学学报(自然科学版), 2020, 41(2): 221–226. WANG Yong, XIAO Shunwen, ZHENG Rui, et al. Design of real-time image acquisition and display sys￾tem based on FPGA[J]. Journal of China west normal university (natural sciences edition), 2020, 41(2): 221–226. [17] 张小刚, 唐美玲, 陈华, 等. 一种结合双区域滤波和图 像融合的单幅图像去雾算法 [J]. 自动化学报, 2014, 40(8): 1733–1739. ZHANG Xiaogang, TANG Meiling, CHEN Hua, et al. A dehazing method in single image based on double-area filter and image fusion[J]. Acta automatica sinica, 2014, 40(8): 1733–1739. [18] 高全明, 孙俊喜, 刘广文, 等. 基于 FPGA 的交通视频 快速去雾系统的设计与实现 [J]. 电子技术应用, 2017, 43(6): 71–74. GAO Quanming, SUN Junxi, LIU Guangwen, et al. Design and implementation on the system of high speed fog removal in traffic video images based on FPGA[J]. Application of electronic technique, 2017, 43(6): 71–74. [19] 韩团军. 快速中值滤波算法研究及其 FPGA 硬件实现 [J]. 电子器件, 2017, 40(3): 697–701. HAN Tuanjun. Research of fast median filtering al￾gorithm and hardware implementation based on FPGA[J]. Chinese journal of electron devices, 2017, 40(3): 697–701. [20] 刘佳敏, 何宁. 基于改进同态滤波的低对比度图像增 强 [J]. 计算机应用与软件, 2020, 37(3): 220–224. LIU Jiamin, HE Ning. Low contrast image enhancement based on improved homomorphic filtering[J]. Computer applications and software, 2020, 37(3): 220–224. [21] 蔡秀梅, 马今璐, 吴成茂, 等. 基于模糊同态滤波的彩 色图像增强算法 [J]. 计算机仿真, 2020, 37(6): 342–346. CAI Xiumei, MA Jinlu, WU Chengmao, et al. Color im￾age enhancement algorithm based on fuzzy homomorph￾ic filtering[J]. Computer simulation, 2020, 37(6): [22] ·822· 智 能 系 统 学 报 第 17 卷
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