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Motion blurred image restoration based on flight control system

机译:基于飞行控制系统的运动模糊图像恢复

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In recent years, the applications of Aerial UAV are more and more extensive. The aerial system is subject to the impact of the relative movement, posture changes and the atmosphere, which results in low clarity of the captured image. Based on the image blur phenomenon caused by UAV flight, a function is introduced as its coefficient in Lucy-Richardson (LR) image restoration algorithm, which could effectively protect edge details of the image. The results of image quality evaluation show that the improved LR algorithm can effectively suppress the noise in the image and improve the clarity of the image.
机译:近年来,空中无人机的应用越来越广泛。空中系统受到相对运动的影响,姿势变化和大气的影响,这导致捕获图像的低清晰度。基于由UAV飞行引起的图像模糊现象,函数被引入了Lucy-Richardson(LR)图像恢复算法中的系数,它可以有效地保护图像的边缘细节。图像质量评估结果表明,改进的LR算法可以有效地抑制图像中的噪声并提高图像的清晰度。

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