液晶与显示2017，Vol.32Issue(6)：482-490,9.DOI:10.3788/YJYXS20173206.0482
非凸性优化与动态自适应滤波的湍流退化视频复原
Turbulence-degraded video restoration based on non-convexity optimization and dynamical adaptive filtering
摘要
Abstract
The video/image received by optical system suffers degradation such as pixel deviation, blurring and signal to noise ratio reduction, when the target detector flies at high speed in the atmosphere is affected by turbulent interference.In this paper, the complexity of turbulence-degraded image restoration and deblurring methods are studied, and a video restoration method based on non-convexity optimization and dynamical adaptive filtering method is proposed.Firstly, we study the sum and deblur framework of turbulence-degraded video.By improving the rigid global registration with non-rigid local registration, the scale of blur kernel can be narrowed.Secondly, a non-convexity deconvolution algorithm is constructed based on the non-convexity optimization framework, which can solve the difficulty of image deconvolution problem effectively.Finally, dynamic adaptive filtering framework of video super-resolution recovery is expanded with the characteristics of turbulence-degraded.Simulation experiment results show that the proposed method can not only improve the quality of restored image, but also implement dynamic self-adaptive restoration of turbulence-degraded video.关键词
大气湍流/视频复原/点扩展函数/非凸性优化Key words
atmospheric turbulence/video restoration/point spread function/non-convexity分类
信息技术与安全科学引用本文复制引用
李俊山,杨亚威,朱子江,张姣,邓耀华..非凸性优化与动态自适应滤波的湍流退化视频复原[J].液晶与显示,2017,32(6):482-490,9.基金项目
国家自然科学基金项目(No.61175120) （No.61175120）
广州市科技计划项目(No.201510010094) （No.201510010094）
广东省省级科技计划项目(No.2016B010112003)Supported by National Natural Science Foundation of China(No.61175120) （No.2016B010112003）
Guangzhou Science and Technology Plan Project(No.201510010094) （No.201510010094）
Guangdong Provincial Science and Technology Program (No.2016B010112003) （No.2016B010112003）
