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作 者:张慧智[1] 杨海涛[2] ZHANG Huizhi;YANG Haitao(North China Electric Power University,Beijing 102206,China;Beijing University of Technology,Beijing 102206,China)
机构地区:[1]华北电力大学,北京102206 [2]北京工业大学,北京102206
出 处:《激光杂志》2020年第11期63-66,共4页Laser Journal
基 金:国家级自然科学基金(No.61806063)。
摘 要:由于没有考虑图像不同区域的峰态值具有差异性的问题,导致人体运动模糊图像重建结果的均方根误差以及计算时间过高,为提升图像重建效果,提出基于激光跟踪技术的运动模糊图像重建方法。充分考虑图像峰态值因素,通过峰态值来描述图像梯度值的具体分布情况,并采用激光跟踪技术形成人体运动模糊区域映射图,利用腐蚀以及膨胀分别对映射图中的模糊区域以及清晰区域进行处理,并对处理结果进行标记。根据标记结果分割图像,同时对模糊区域进行扩张,利用估算得到的模糊核进行卷积去模糊,将图像外延部分去除,将分割获取的清晰区域进行拼接,实现运动模糊图像重建。仿真实验结果表明,所设计方法的均方根误差在0.12~0.3之间、峰值信噪比在0.18~0.56 d B之间、计算时间在0.12~0.25 min之间,能够有效降低图像重建的均方根误差,缩短重建用时,进一步提升图像的视觉质量。Because the peak value of different regions of image is not considered to be different,the root mean square error and calculation time of reconstruction result of human motion blurred image are too high.In order to improve image reconstruction effect,a method of motion blurred image reconstruction based on laser tracking technology is proposed.The peak value is considered to be used to describe specific distribution of image gradient value,and laser tracking technology is used to form the mapping map of fuzzy area of human motion.The fuzzy area and the clear area in mapping map are processed by corrosion and expansion respectively,and the processing results are marked.According to the result of marking,the image is segmented,and the fuzzy region is expanded at the same time.The estimated fuzzy kernel is used to convolute and de-blur the image,the extension part of image is removed,and the segmented clear regions are spliced to realize reconstruction of motion blurred image.The simulation results show that the proposed method has a root-mean-square error of 0.12-0.3,a peak signal-to-noise ratio of 0.18-0.56,and a computing time of 0.12-0.25,which can effectively reduce root-mean-square error of image reconstruction,shorten reconstruction time,and further improve visual quality of image.
分 类 号:TN249[电子电信—物理电子学]
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