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A robust smear removal method for inter-frame Charge-Coupled Device star images

机译:帧间电荷耦合器件星图的可靠去污方法

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In order to eliminate the influence of Smear Effect on follow-up processing of star images, this paper researched the source and statistical model of Smear Effect. After researching the working progress of inter-line Charge Coupled Device(CCD), inter-frame CCD and full-frame CCD, this paper builds a statistical model for the background noise and then proposes an algorithm to do radiometric correction in smear images based on modeling and estimating the intensity of background noise in star image. Experimental results indicate that the algorithm in this paper can remove smear effect in star image efficiently while retaining origin information. The method in this paper can eliminate the influence of smear effect in star images while retaining origin information.
机译:为了消除拖尾效应对恒星图像后续处理的影响,本文研究了拖尾效应的来源和统计模型。在研究了线间电荷耦合器件(CCD),帧间CCD和全帧CCD的工作进展之后,建立了背景噪声统计模型,并提出了一种基于该算法对涂片图像进行辐射校正的算法。建模和估计星图背景噪声的强度。实验结果表明,该算法在保留原点信息的同时,可以有效地消除恒星图像中的拖影现象。该方法可以在保留原点信息的同时,消除恒星图像拖尾效应的影响。

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