首页 | 本学科首页   官方微博 | 高级检索  
     

基于总变分规整化的湍流退化图像复原RL算法
引用本文:赵剡,张怡,许东. 基于总变分规整化的湍流退化图像复原RL算法[J]. 中北大学学报(自然科学版), 2007, 28(1): 69-73
作者姓名:赵剡  张怡  许东
作者单位:北京航空航天大学,仪器科学与光电工程学院,北京,100083;北京航空航天大学,仪器科学与光电工程学院,北京,100083;北京航空航天大学,仪器科学与光电工程学院,北京,100083
摘    要:根据RL(Richardson-Lucy)不需要点扩散函数尺寸先验信息的优点和湍流退化模式的特点,将RL图像复原算法应用到气动光学效应退化图像的复原中.针对RL算法极易引起噪声放大和过度平滑的缺点,提出了基于总变分最小化的RL图像盲复原算法.仿真结果表明,该算法在噪声抑制和细节保存方面都优于非规整化的RL算法。

关 键 词:气动光学效应  湍流退化图像  RL算法  总变分
文章编号:1673-3193(2007)01-0069-05
修稿时间:2006-06-28

Restoration of Turbulence-Degraded Images Based on RL Algorithm with Total Variation Regularization
ZHAO Yan,ZHANG Yi,XU Dong. Restoration of Turbulence-Degraded Images Based on RL Algorithm with Total Variation Regularization[J]. Journal of North University of China, 2007, 28(1): 69-73
Authors:ZHAO Yan  ZHANG Yi  XU Dong
Abstract:According to the characters of the turbulence-degraded images.Richardson-Lucy(RL) algorithm was introduced to restore aero-optics degraded images.RL algorithm is totally blind,and it does not need the information about the size of the Point-Spread Function(PSF).However this method tends to amplify the noise and result in excessive smoothing.Here,the RL algorithm with a regularizing constraint based on total variation was proposed.The simulation results show that this method can effectively remove the noise and preserve the edges of the image.
Keywords:aero-optics effects  turbulence-degraded images  RL algorithm  total variation
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号