激光与光电子学进展, 2013, 50 (12): 120101, 网络出版: 2013-11-19
基于时域特性的多帧湍流退化图像复原算法
Multiframe Turbulence-Degraded Image Restoration Method Based on Temporal Signature
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 Tichonov regularization Structure-adaptive applicability filter
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。
Abstract
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 intensity turbulence-degraded images and robust with high noise-resisting ability.
邵慧, 汪建业, 徐鹏, 杨明翰. 基于时域特性的多帧湍流退化图像复原算法[J]. 激光与光电子学进展, 2013, 50(12): 120101. Shao Hui, Wang Jianye, Xu Peng, Yang Minghan. Multiframe Turbulence-Degraded Image Restoration Method Based on Temporal Signature[J]. Laser & Optoelectronics Progress, 2013, 50(12): 120101.