摘要
为了快速准确地复原湍流退化图像,采用了一种基于时域相关特性的频域多帧迭代解卷积算法。算法将时域特性和Tichonov正则化引入到代价函数,同时对点扩展函数(PSF)施加非负支持域约束、带宽约束和能量约束。采用二阶共轭梯度交替迭代解卷积频域代价函数快速估计PSF和恢复图像。通过各向异性的结构自适应调节滤波处理,达到提升图像细节和消除噪声的目的。实验结果表明,提出的算法能够有效地复原湍流退化图像,具有较高的抗噪能力。
In order to restore turbulence-degraded images exactly and rapidly, an iterative blind deconvolution （IBD） algorithm in the frequency domain based on temporal signature is proposed. The temporal signature regularization and Tichonov regularization are incorporated in the cost function. The constraints of non-negativity, energy and bandwidth of the PSFs are added in the iterative blind deconvolution to estimate the object image and point spread functions （PSFs） by the second order conjugation gradient （CG） optimization method. Structure-adaptive applicability filter is used to reduce noise and promote the edges of images. The experimental results show that the proposed algorithm is efficient to recover different intensitv turbulence-degraded images and robust with high noise-resisting abilitv.
出处
《激光与光电子学进展》
CSCD
北大核心
2013年第12期43-51,共9页
Laser & Optoelectronics Progress
基金
安徽省高校省级自然科学项目(KJ2013B052)
关键词
大气光学
图像处理
迭代盲反卷积
时域特性
Tichonov正则化
结构自适应调节滤波器
atmospheric optics image processing iterative blind deconvolution
temporal signature Tichonovregularization Structure-adaptive applicability filter
