基于自适应梯度先验的旋转模糊图像复原算法

doi:10.3969/j.issn.1000-1093.2019.03.010

兵工学报 ›› 2019, Vol. 40 ›› Issue (3): 522-529.doi: 10.3969/j.issn.1000-1093.2019.03.010

基于自适应梯度先验的旋转模糊图像复原算法

王新春¹，王隆隆¹，莫波¹，刘福祥¹，亓贺²

(1.北京理工大学宇航学院, 北京 100081; 2.北京航天自动控制研究所宇航智能控制技术国家级重点实验室, 北京 100081)

收稿日期:2018-06-21 修回日期:2018-06-21 上线日期:2019-04-29
作者简介:王新春(1992—), 男, 博士研究生。E-mail: wangxc2015@bit.edu.cn

Image Restoration Algorithm for Rotary Motion Blur Based on Adaptive Gradient Priori Regularization

WANG Xinchun¹， WANG Longlong¹， MO Bo¹， LIU Fuxiang¹， QI He²

(1.School of Astronautics, Beijing Institute of Technology, Beijing 100081, China; 2.National Key Laboratory of Aerospace Intelligent Control Technology, Beijing Aerospace Automatic Control Institute, Beijing 100081, China)

Received:2018-06-21 Revised:2018-06-21 Online:2019-04-29

摘要/Abstract

摘要： 弹载红外成像系统随弹体作高速旋转运动时，在曝光时间内获取的图像存在严重旋转模糊问题，给后续的目标识别与图像跟踪造成极大困扰。针对此问题，提出了一种基于自适应梯度先验的旋转模糊图像复原算法。该算法通过使用自适应梯度先验的正则化项，对从图像中沿旋转模糊路径提取的一维向量在频域内进行反卷积运算。同时针对使用Bresenham算法提取像素方法产生的空穴点问题，设计了一种查表决策的自适应中值滤波算法。仿真实验结果表明，相对于改进的维纳滤波、约束最小二乘滤波、梯度加载滤波，该算法能有效地适应低信噪比干扰环境，具有较强的噪声抑制和削弱振铃效应的能力。

关键词: 旋转模糊, 图像复原, 自适应梯度先验, 正则化项, 中值滤波

Abstract: When the missile-borne infrared imaging system rotates with missile at a high speed rotation, a serious rotation blurring exists in the image acquired during the exposure, which causes a great confusion for subsequent target recognition and image tracking. A novel rotational blur restoration algorithm based on adaptive gradient priori regularization is proposed. In the proposed algorithm, the adaptive gradient priori regularization term is used for the deconvolution operation of the one-dimensional vectors extracted along the blurred fuzzy path from the image in the frequency domain. An adaptive median filtering algorithm using look-up table is designed to solve the problem about the hole points generated by the pixel extraction method using Bresenham algorithm. The experimentally simulated results show that, compared with improved Wiener filtering, constrained least square filtering, and gradient loading filtering, the proposed algorithm can effectively adapt to low SNR interference environment， and has strong ability to suppress noise and weaken the ringing-effect. Key

Key words: rotarymotionblur, imagerestoration, adaptivegradientpriori, regularization, medianfiltering

中图分类号:

TJ761.1⁺2

王新春，王隆隆，莫波，刘福祥，亓贺. 基于自适应梯度先验的旋转模糊图像复原算法[J]. 兵工学报, 2019, 40(3): 522-529.

WANG Xinchun， WANG Longlong， MO Bo， LIU Fuxiang， QI He. Image Restoration Algorithm for Rotary Motion Blur Based on Adaptive Gradient Priori Regularization[J]. Acta Armamentarii, 2019, 40(3): 522-529.

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第40卷
第3期2019 年3月兵工学报ACTA
ARMAMENTARIIVol.40No.3Mar.2019

[1]	陈雄锋, 阮驰. 多参数最优重构水下偏振成像复原方法[J]. 兵工学报, 2023, 44(7): 2122-2131.
[2]	罗院红，许廷发，朱振福. 基于路径提取的旋转模糊图像复原算法[J]. 兵工学报, 2014, 35(9): 1393-1399.

基于自适应梯度先验的旋转模糊图像复原算法

Image Restoration Algorithm for Rotary Motion Blur Based on Adaptive Gradient Priori Regularization

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