A Method for Image Restoration and Wavefront Sensing by Using Phase Diversity

O. Bucci, A. Capozzoli, G. D'Elia
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Abstract

Cleaning the distortions of an unknown image due to an unknown spatially invariant point spread function (PSF) is a problem of particular interest for optical systems, like telescopes, wherein the radiation from the object passes trough a medium in turbulent motion. The aim of this paper is to present a stable method, based on the approach presented in [1] for the case of coherent radiation, which is able to estimate both the optical path disturbance (OPD) and the unknown object from noisy and incoherent multiple images, in absence of a reference source. The presented technique, at variance of other existing methods, [2-3], is able to take explicitly into account the measurement errors and noise without requiring any hypothesis on their statistical nature. The stability of the method is ensured by exploiting both a physical constraint on the OPD and a stabilizing functional.
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一种基于相位分集的图像恢复与波前检测方法
由于未知的空间不变性点扩散函数(PSF),清除未知图像的畸变是光学系统(如望远镜)特别感兴趣的问题,其中来自物体的辐射通过湍流运动的介质。本文的目的是在[1]中提出的方法的基础上,提出一种稳定的方法,用于相干辐射的情况下,能够在没有参考源的情况下,从噪声和非相干多图像中估计光路干扰(OPD)和未知目标。与其他现有方法不同,[2-3]所提出的技术能够明确地考虑到测量误差和噪声,而不需要对其统计性质进行任何假设。通过利用OPD的物理约束和稳定功能,保证了该方法的稳定性。
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