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极端先验下的编码曝光运动目标模糊成像复原 被引量:2

Restoration of Motion Blurred Coded Exposed Image Based on Extreme Channels Prior
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摘要 采集运动目标图像时,由于目标与采集相机之间产生相对运动造成图像模糊.为了获得清晰运动目标图像,提出了极端先验下的编码曝光运动目标模糊成像复原方法.该方法将传统曝光快门的一次开合过程转变为特殊逻辑编码的多次开合过程,将频域中将窄带滤波扩展为宽带滤波,进而将原始目标高频信息保留在模糊图像中.通过建立极端先验下的正则化编码曝光优化函数,提出了一种有效的编码曝光图像复原迭代和核估计算法.本方法利用编码曝光保存目标原始信息,再利用图像的极端先验自然属性有效复原.在多组合成和实际采集编码曝光运动模糊图像复原中,利用图像质量评价指数表明本方法能够在不同相对运动模式下均获较好的复原效果. Motion blurring occurs during imaging process due to the relative motion between the target and acquisition camera.Based on extreme channels prior,an effective coded-exposure image restoration method is proposed to obtain deblurring results.Opening and closing process of the shutter exposure in traditional single time is replaced by special logic coding.More original information of target features is retained,which can expand the narrow-band filtering to wide-band filtering.Furthermore,an effective coded-exposure image iteration and kernel estimation algorithm is put forward to obtain the restored image using based on extreme channels prior regularization.This method preserves the high-frequency information of the original target in the process of image acquisition,and the image is restored by the natural attributes of extreme channels prior.Experiments on synthetic and actual coded-exposure blurring images show that the proposed method can obtain better restoration results under different relative motion modes with image quality assessment index.
作者 李响 何东钢 LI Xiang;HE Dong-gang(School of Information Engineering,Dalian Ocean University,Dalian 116023,China)
出处 《小型微型计算机系统》 CSCD 北大核心 2022年第6期1170-1177,共8页 Journal of Chinese Computer Systems
基金 辽宁省教育厅科学研究基金项目(QL201716)资助.
关键词 图像复原 编码曝光 极端先验 运动模糊 image restoration coded exposure extreme channels prior motion blur
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