期刊文献+

基于FPGA的高清实时视频去雾系统的设计与实现 被引量:3

Design and Implementation of High-definition Real-time Video Dehazing System Based on FPGA
下载PDF
导出
摘要 实现了基于Xilinx XC6SLX45 FPGA的高清实时视频去雾系统,详细介绍了系统的逻辑框架及主要的算法实现。首先,介绍了整个系统的硬件框架及FPGA内部的逻辑框架;其次,描述了改进的暗原色先验去雾算法,给出了在FPGA中的算法实现过程;最后,对系统进行测试。实验结果表明,该系统实现了预期的高清视频实时去雾,并具有自适应功能,去雾效果良好。 Design and implementation of high-definition real-time video dehazing system based on Xilinx XC6SLX45 FPGA are in- troduced in this paper. The overall architecture of the system and algorithm are described in detail. At first, hardware architecture of the system and logic architecture inside FPGA are introduced. Secondly, improved dark channel prior haze removal algorithm is contributed with the algorithm implementation in the FPGA. Finally, the result shows that the system works as expected with the a- daptive function. The system has good real-time performance and dehazing effect for high-definition haze video.
作者 曹亚辉 刘峰
出处 《电视技术》 北大核心 2015年第7期48-51,共4页 Video Engineering
基金 江苏省高校自然科学研究项目(13KJA510004 12KJB510019) 广州市软件和信息服务业发展专项资金项目(2060404)
关键词 高清 实时 暗原色先验 视频去雾 FPGA high-definition real-time dark channel prior video dehazing FPGA
  • 相关文献

参考文献5

  • 1龚亮,孙俊喜,顾播宇,曹永刚,宋立维.基于FPGA的视频图像去雾系统的设计与实现[J].电视技术,2013,37(7):6-8. 被引量:6
  • 2HE K, SUN J, TANG X. Single image haze removal using dark channel prior[ J ]. IEEE Trans. Pattern Analysis and Machine Intelli- gence,2011,33(12) :2341-2353.
  • 3贺柏根,刘剑,马天玮.基于DSP+FPGA的实时图像去雾增强系统设计[J].液晶与显示,2013,28(6):968-972. 被引量:18
  • 4AMR. AMBA AXI and ACE Protocol Specification [ EB/OL ]. [2014- 10 -06 ] . http ://www. arm. com/zh/products/system - ip/ amba/amba-open-specifications, php.
  • 5AMR. AMBA 4 AXI4 - Stream Protocol Specification [ EB/OL ] . [ 2014 - 10 - 06 ] . http://infocenter, arm. corn/help/index, jsp? topic =/com. arm. doc. ihi0051 a/index, html.

二级参考文献13

  • 1CHOI D H,.IANG'I H. Color image enhancement using single-scale ret- inex based on an improved image formation model [ C ]//Proc. EUSIPCO 2008. Lausanne, Switzerland : EURASIP Press ,2008 : 1-5.
  • 2HE Kaiming,SUN Jian,TANG Xiaoou. Single image haze removal using dark channel prior[ C ]//Proc. CVPR 2009. [ S. l. ] : IEEE Press,2009 :1956-1963.
  • 3SHWARTZ S, NAMER E, SCHECHNER Y Y. Blind haze separation [ C]//Proc. CVPR 2006. [S. l. ] :IEEE Press ,2006 :1984-1991.
  • 4Narasimhan S G,Nayar S K. Vision and the Atmosphere[J].Computer Vision,2002.233-254.
  • 5Narasimhan S G,Nayar S K. Contrast Restoration of Weather Degraded Images[J].{H}IEEE Transactions on Pattern Analysis and Machine Intelligence,2003,(06):713-724.doi:10.1109/TPAMI.2003.1201821.
  • 6He Kaiming,Sun Jian,Tang Xiaoou. Single image haze removal using dark channel prior[J].IEEE Transactions on Pattern Analysis and Machine ntelligence,2011,(12):2341-2353.
  • 7Shwartz S,Namer E,Schechner Y Y. Blind haze separation[J].Proceedings of IEEE CVPR,2006,(01):1984-1991.
  • 8Omer I,Werman M. Color lines:image specific color representation[J].Proceeding of IEEE Computer Rision and Pattern Pecognition,2004,(06):946-953.
  • 9尹传历,孙丽娜,韩松伟,刘仲宇,李志强.基于暗原色先验的嵌入式图像增强系统[J].液晶与显示,2011,26(5):673-676. 被引量:6
  • 10吴笑天,丁兴号,吴奎.基于暗通道理论的雾天图像复原的快速算法[J].长春理工大学学报(自然科学版),2012,35(1):100-104. 被引量:10

共引文献20

同被引文献19

引证文献3

二级引证文献13

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部