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气动光学效应红外序列退化图像优化复原算法
引用本文:洪汉玉,张天序,易新建. 气动光学效应红外序列退化图像优化复原算法[J]. 红外与激光工程, 2005, 34(6): 724-728
作者姓名:洪汉玉  张天序  易新建
作者单位:华中科技大学,图像识别与人工智能研究所,图像信息处理与智能控制教育部重点实验室,湖北武汉,430074;华中科技大学,光电子工程系,电子科学与技术博士后流动站,湖北,武汉,430074;武汉工程大学,计算机图形图像处理研究室,湖北,武汉,430074;华中科技大学,图像识别与人工智能研究所,图像信息处理与智能控制教育部重点实验室,湖北武汉,430074;华中科技大学,光电子工程系,电子科学与技术博士后流动站,湖北,武汉,430074
基金项目:国家自然科学基金重点资助项目(F60135020);国家重点预研支持资助项目(413010702)
摘    要:从时间序列退化图像中依次连续取两帧图像来估计湍流瞬态点扩展函数,将约束优化原理应用在气动光学效应退化图像的复原过程中。针对气动光学效应湍流点扩展函数复杂多峰、随机多变等特性,在点扩展函数的估计过程中,采用保凸峰等优化策略,将点扩展函数离散值的计算转化为基于松弛迭代的最优化估计,通过极小化准则函数估计点扩展函数值,进而恢复退化图像。实验结果表明,本文方法复原效果好,速度较快。

关 键 词:图像复原  气动光学效应  退化图像  优化估计
文章编号:1007-2276(2005)06-0724-05
收稿时间:2005-09-12
修稿时间:2005-10-20

Optimized restoration algorithm of infrared sequence degraded images with aero-optical effects
HONG Han-yu,ZHANG Tian-xu,YI Xin-jian. Optimized restoration algorithm of infrared sequence degraded images with aero-optical effects[J]. Infrared and Laser Engineering, 2005, 34(6): 724-728
Authors:HONG Han-yu  ZHANG Tian-xu  YI Xin-jian
Affiliation:1.State Key Laboratory of Education Mission for Image Processing and Intelligent Control, Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074, China;2. Postdoctor for Electron Science and Technology, Department of Optoelectronic Engineering, Huazhong University of Science and Technology, Wuhan 430074, China;3. Laboratory of Computer Graphics Image Processing, Wuhan Institute of Technology,Wuhan 430074, China
Abstract:An optimized method is proposed to estimate the turbulent point spread functions (PSF) by using two consecutive short-exposure images in a sequence of turbulence-degraded images, in which the principle of constraint optimization has been applied in the process of restoration. The scheme of preserving peaks of the PSF has been adopted in the estimation of the PSF values, which is in agreement with the property of turbulent PSFs being stochastic changeable with some complex peaks. The problem of calculating the PSFs'values has been boiled down to optimization estimation based on relax iterations. The discrete values of the PSFs can be estimated by minimizing the critical function, consequently the object image can be obtained. The restoration experiments show that the proposed algorithm is efficient with good restoration effect and fast speed.
Keywords:Image restoration    Aero-optical effects    Degraded image    Optimization estimation
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