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。
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.
引文
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