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Space shift variant image degradation model and restoration of image motion blur in space borne TDI imaging system

机译:空间播种TDI成像系统中图像运动模糊的空间移位变体图像劣化模型及恢复

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Image motion blur caused by jitters of platform and other factors in space borne TDI (Time delay and integration)imaging system normally is space shift variant. This situation is different from common cases where the image degradation caused by motion is modeled as space invariant and can be dealt with by de-convolution techniques. A space shift variant image degradation model of image motion blur in TDI imaging system is presented using piecewise linear interpolation. The parameter of the model is focal image motion which can be measured or detected in several ways in satellite. A new restoration algorithm for space shift variant blurred image is also presented. The proposed algorithm is based on piecewise bilinear interpolation and restores image pixel by pixel. The algorithm restores each pixel of degraded image individually. Therefore it is not involved in big matrix's computation, which considerably reduces the computation of image restoration. Software simulations are conducted to prove the validity of the presented model and the algorithm. Restorations are performed with simulated images, where image noise is considered. The simulation results has shown that the model and the algorithm perform well in restoring images degraded by image motion which is known or can be detected with an accuracy of 0.3 pixel(3σ).
机译:图像运动模糊由平台的乱码和太空中的其他因素(时间延迟和集成)成像系统通常是空间换档变体。这种情况与常见情况不同,其中由运动引起的图像劣化被建模为空间不变,可以通过去卷积技术进行处理。使用分段线性插值介绍了TDI成像系统中图像运动模糊的空间移位变型图像劣化模型。模型的参数是焦点图像运动,可以在卫星中以多种方式测量或检测。还提出了一种新的空间换档变体模糊图像的恢复算法。所提出的算法基于分段双线性插值并通过像素恢复图像像素。算法单独恢复降低图像的每个像素。因此,它不涉及大矩阵的计算,这显着降低了图像恢复的计算。进行软件仿真以证明所提出的模型和算法的有效性。利用模拟图像进行修复,其中考虑图像噪声。模拟结果表明,该模型和算法在恢复图像中表现良好,其通过图像运动劣化,所述图像运动是已知的,或者可以以0.3像素(3σ)的精度检测。

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