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The Implementation on the Restoration of Motion-Blurred Images of Ochotona Curzoniae

机译:恢复运动的Ochotona Curzoniae图像的实现

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Ochotona curzoniae is one of the main creature calamities in Qinghai-Tibet Plateau. With the development of advanced biological recognition technologies, a new scientific method is provided for the Ochotona curzoniae's research using the automatic identification system of the Ochotona curzoniae. But due to the relative motion between the object and the video camera, the obtained image of Ochotona curzoniae is often blurred in the process of image acquisition. The technology of image restoration can eliminate the blur of image and improve the quality of image. In this paper, on the basis of the analysis of the degradation model of motion blurred image and the restoration process of motion blurred image, the methods of image restoration of motion blurred image of Ochotona curzoniae are studied and implemented. The motion blurred images of Ochotona curzoniae are restored by the methods of inverse filter, Wiener filter and constrained least squares to improve the quality of the image of Ochotona curzoniae to better carry out the follow-up feature extraction and target recognition.
机译:高原鼠兔(Ochotona curzoniae)是青藏高原的主要生物灾害之一。随着先进的生物识别技术的发展,利用其自身的自动识别系统为curzooniae的研究提供了一种新的科学方法。但是由于物体和摄像机之间的相对运动,所获得的Ochotona curzoniae的图像在图像采集过程中经常会模糊。图像恢复技术可以消除图像模糊,提高图像质量。本文在分析运动模糊图像退化模型和运动模糊图像恢复过程的基础上,研究并实现了葫芦形运动模糊图像的图像恢复方法。通过逆滤波,维纳滤波和约束最小二乘等方法恢复了运动的模糊图像,从而提高了运动效果,更好地进行了特征提取和目标识别。

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