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A method of point spread function estimation for wideband electromagnetic distribution

机译:宽带电磁分布的点扩展函数估计方法

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Due to the diffraction limitation, images acquired from the electromagnetic distribution detection are blurred by a parabolic reflector imaging system and super-resolution algorithm is thus needed to improve the resolution. By using an effective algorithm, the point spread function (PSF) can be obtained as a function of frequency, however, the frequency of electromagnetic source distributions are rarely known. Therefore, this paper presents a method of estimating the frequency of electromagnetic source distribution by establishing the corresponding relationship between estimated PSF via the blind deconvolution super-resolution algorithm and frequency. And then we can determine the PSF with the estimated frequency and restore the image via L_R iterative algorithm. Experimental results show that the proposed method can effectively estimate the PSF of the wideband electromagnetic source distribution and improve the resolution of the blurred image.
机译:由于衍射限制,从电磁分布检测获得的图像被抛物面反射器成像系统模糊,因此需要超分辨率算法来提高分辨率。通过使用有效的算法,可以获得点扩展函数(PSF)作为频率的函数,但是,电磁源分布的频率却鲜为人知。因此,本文提出了一种通过建立通过盲反卷积超分辨率算法估计的PSF与频率之间的对应关系来估计电磁源分布频率的方法。然后我们可以用估计的频率确定PSF,并通过L_R迭代算法恢复图像。实验结果表明,该方法可以有效地估计宽带电磁源分布的PSF,提高模糊图像的分辨率。

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