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运动成像混合模糊的全变分图像复原

Total variation image restoration for mixed blur in moving image

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摘要

为了实现运动成像中视频帧内复原, 研究了帧内运动模糊和离焦模糊两种常见模糊类型带来的混合模糊问题。首先, 依据模糊图像的频谱特性定性判定模糊类型, 利用倒谱分析的方法定量估计模糊模型点扩散函数, 依据工程实际选取模糊参数进行仿真实验, 实现点扩散函数估计方法的准确性验证。然后, 采用耦合梯度保真项的改进型全变分图像复原算法, 约束点扩散函数估计误差对图像复原的影响, 并采用适应L1范数的Split-Bregman算法完成复原算法的数值实现。最后, 对算法性能进行验证, 完成仿真和实拍混合模糊图像的复原。实验结果表明, 倒谱分析估计点扩散函数的准确率达到90%。 复原算法能保持图像边缘和细节, 并有效抑制振铃效应, 帧内稳像的图像峰值信噪比为28.92 dB。

Abstract

In order to restore the image in the video frame of a moving image, the mixed blur that combines two common blur types, motion blur and defocus blur, was discussed. Firstly, blur types were determined according to the difference in spectrum features and the Point Spread Function (PSF) was estimated quantitatively using the cepstrum analysis. Blur parameters in simulation experiments were chosen based on engineering to verify the accuracy of the cepstrum analysis in the PSF estimation method. Then, a gradient fidelity term was coupled with total variation image restoration algorithm to constrain the impact of the PSF estimation error on image restoration and the Split-Bregman algorithm that is compatible with the L1 norm was adopted to accomplish the numerical computing in restoration algorithm. Finally, the simulation experiments and the real image restoration were carried to verify the performance of the algorithm. The results show that cepstrum analysis for estimating the PSF has an accuracy rate of 90%.The proposed algorithm can preserve edges and details, inhibit the ringing effect effectively and shows its Peak Signal to Noise Rate (PSNR) to be 28.92 dB.

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中图分类号:TP391.4

DOI:10.3788/ope.20111908.1973

所属栏目:信息科学

收稿日期:2011-06-09

修改稿日期:2011-07-01

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石明珠:北京理工大学 光电学院, 北京 10081北京理工大学 光电成像技术与系统教育部重点实验室, 北京 100081
许廷发:北京理工大学 光电学院, 北京 10081北京理工大学 光电成像技术与系统教育部重点实验室, 北京 100081
张坤:北京理工大学 光电学院, 北京 10081北京理工大学 光电成像技术与系统教育部重点实验室, 北京 100081

联系人作者:石明珠(shimingzhu1@163.com)

备注:石明珠(1985-), 女, 山东菏泽人, 博士研究生, 2008年于西安工业大学获得学士学位, 研究方向为高分辨率光学遥感运动成像图像复原、多模式电子稳像算法技术及硬件实现。

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引用该论文

SHI Ming-zhu,XU Ting-fa,ZHANG Kun. Total variation image restoration for mixed blur in moving image[J]. Optics and Precision Engineering, 2011, 19(8): 1973-1981

石明珠,许廷发,张坤. 运动成像混合模糊的全变分图像复原[J]. 光学 精密工程, 2011, 19(8): 1973-1981

被引情况

【1】黄德天,吴志勇. 基于非负支撑域受限递归逆滤波的自适应图像盲复原. 光学 精密工程, 2012, 20(9): 2078-2086

【2】郭玲玲,吴泽鹏,张立国,任建岳. 基于多通道盲反卷积的空间光学遥感器在轨点扩展函数估算. 光学学报, 2013, 33(4): 428001--1

【3】李伟红,董亚莉,唐述. 多范数混合约束的正则化图像盲复原. 光学 精密工程, 2013, 21(5): 1357-1364

【4】李永乐,娄静涛,张茂军,王炜,熊志辉. 基于全向总变分最小化的折反射散焦模糊图像复原方法. 光学学报, 2013, 33(8): 811006--1

【5】李海森,张艳宁,姚睿,孙瑾秋. 基于主成分分析的直线运动模糊参数估计. 光学 精密工程, 2013, 21(10): 2656-2663

【6】廖永忠,蔡自兴,何湘华. 快速运动模糊图像盲解卷积算法. 光学 精密工程, 2013, 21(10): 2688-2695

【7】朱明,杨航,贺柏根,鲁剑锋. 联合梯度预测与导引滤波的图像运动模糊复原. 中国光学, 2013, 6(6): 850-855

【8】吴海滨,刘超,于晓洋,孙晓明,胡丽娟. 视频监控图像的运动模糊方向估计. 液晶与显示, 2014, 29(4): 580-585

【9】郭萌,赵岩,王世刚,陈贺新. 基于区域选择的红外弱小目标超分辨率复原算法. 液晶与显示, 2016, 31(4): 415-420

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