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Fundamental limit of resolving two point sources limited by an arbitrary point spread function

机译:解决由任意点扩展函数限制的两个点源的基本限制

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Estimating the angular separation between two incoherently radiating monochromatic point sources is a canonical toy problem to quantify spatial resolution in imaging. In recent work, Tsang et al. showed, using a Fisher Information analysis, that Rayleigh's resolution limit is just an artifact of the conventional wisdom of intensity measurement in the image plane. They showed that the optimal sensitivity of estimating the angle is only a function of the total photons collected during the camera's integration time but entirely independent of the angular separation itself no matter how small it is, and found the information-optimal mode basis, intensity detection in which achieves the aforesaid performance. We extend the above analysis, which was done for a Gaussian point spread function (PSF) to a hard-aperture pupil proving the information optimality of image-plane sinc-Bessel modes, and generalize the result further to an arbitrary PSF. We obtain new counterintuitive insights on energy vs. information content in spatial modes, and extend the Fisher Information analysis to exact calculations of minimum mean squared error, both for Gaussian and hard aperture pupils.
机译:估计两个不相干辐射的单色点源之间的角度分离是规范玩具问题,以量化成像中的空间分辨率。最近的工作,曾等。使用Fisher信息分析显示,Rayleigh的分辨率限制只是图像平面中传统智慧的伪影。他们认为,估计角度的最佳灵敏度仅是在相机的集成时间内收集的总光子的函数,而是无论是多么小,并发现信息最佳模式基础,强度检测,完全独立于角度分离。其中实现了上述性能。我们延长了上述分析,这是针对高斯点扩展功能(PSF)的方式,以证明图像平面SINC-BESSEL模式的信息最优性,并将结果概括为任意PSF。我们在空间模式中获得了对能量与信息内容的新违反直观的洞察力,并将Fisher信息分析扩展到高斯和硬孔瞳孔的最小均方误差的精确计算。

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