论文:2018,Vol:36,Issue(1):103-109
引用本文:
李晖晖, 鱼轮, 张良, 杨宁. 暗通道约束和交替方向乘子法优化的湍流图像盲复原[J]. 西北工业大学学报
Li Huihui, Yu Lun, Zhang Liang, Yang Ning. Dark Channel Constraint and Alternated Direction Multiplier Optimization of Turbulence Degraded Image Blind Restoration[J]. Northwestern polytechnical university

暗通道约束和交替方向乘子法优化的湍流图像盲复原
李晖晖1, 鱼轮1, 张良2, 杨宁1
1. 西北工业大学 自动化学院, 陕西 西安 710129;
2. 西安卫星测控中心, 陕西 西安 710043
摘要:
为提高湍流退化图像的复原效果,针对盲复原算法在最大后验概率框架下,使用梯度分布先验信息约束容易求得模糊平凡解的问题,提出了一种暗通道约束和交替方向乘子法优化的湍流图像盲复原算法。基于多尺度的思想,在每一层尺度上,对图像施加暗通道先验约束,对点扩散函数施加非负性约束和能量约束。对采用坐标下降法交替迭代估计当前尺度下的模糊核和图像,当达到最大尺度时,得到最终估计的模糊核。结合总变分模型,采用交替方向乘子法优化实现图像细节快速恢复。实验结果表明,新算法使用的先验信息约束,有利于得到清晰解,在总变分模型下能收敛到全局最优解,可以有效抑制图像复原过程中产生的伪迹,恢复出更好的目标图像细节。
关键词:    图像处理    湍流图像盲复原    暗通道约束    交替方向乘子法优化    反卷积    总变分    点扩散函数   
Dark Channel Constraint and Alternated Direction Multiplier Optimization of Turbulence Degraded Image Blind Restoration
Li Huihui1, Yu Lun1, Zhang Liang2, Yang Ning1
1. School of Automation, Northwestern Polytechnical University, Xi'an 710129, China;
2. Xi'an Satellite Control Center, Xi'an 710043, China
Abstract:
In order to improve the effect of turbulence degraded image restoration, aiming at the problem that the fuzzy solution is easy to be obtained by using the prior information constraint of gradient distribution under the framework of maximum a posteriori probability of blind restoration algorithm, this paper proposes a dark channel constraint and alternated direction multiplier optimization of turbulence degraded image blind restoration method.First, based on the idea of multi-scale, a dark channel prior constraint is imposed on the image and non-negative constraints and energy constraints are imposed on the point spread function at each level.Then, the kernel and image of the current scale are estimated by alternating iterations of coordinate descent method. When the maximum scale is reached, the final estimated blur kernel is obtained.Last, combined with the total variational model, the image details are quickly restored using the alternate direction optimization method. The experimental results show that the prior information constraint used in the proposed algorithm is advantageous to obtain a clear solution, and can converge to the global optimal solution in the total variational model, which can effectively suppress the artifacts produced in the image restoration process and recover a better target image detail.
Key words:    image processing    turbulence image blind restoration    dark channel constraint    alternated direction optimization methods    deconvolution    total variational    point spread function   
收稿日期: 2017-04-25     修回日期:
DOI:
基金项目: 航空科学基金(20131953022)与西北工业大学研究生创意创新种子基金资助
通讯作者:     Email:
作者简介: 李晖晖(1974-),女,西北工业大学副教授,主要从事图像、模式识别及计算机视觉研究。
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