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Bilinear solution to the phase diversity problem for extended objects based on the Born approximation

机译:基于Born近似的扩展目标相变问题的双线性解。

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We propose a new approach for the joint estimation of aberration parameters and unknown object from diversityimages with applications in imaging systems with extended objects as astronomical ground-based observationsor solar telescopes. The motivation behind our idea is to decrease the computational complexity of the conventionalphase diversity (PD) algorithm and avoid the convergence to local minima due to the use of nonlinearestimation algorithms. Our approach is able to give a good starting point for an iterative algorithm or it canbe used as a new wavefront estimation method. When the wavefront aberrations are small, the wavefront can be approximated with a linear term which leads to a quadratic point-spread function (PSF) in the aberration parameters. The presented approach involves recording two or more diversity images and, based on the before mentioned approximation estimates the aberration parameters and the object by solving a system of bilinear equations, which is obtained by subtracting from each diversity image the focal plane image. Moreover, using the quadratic PSFs gives improved performance to the conventional PD algorithm through the fact that the gradients of the PSFs have simple analytical formulas.© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
机译:我们提出了一种从分集图像联合估计像差参数和未知物体的新方法,并将其应用在具有扩展物体的成像系统中,如天文地面观测或太阳望远镜。我们想法背后的动机是减少常规相位分集(PD)算法的计算复杂度,并避免由于使用非线性估计算法而收敛到局部极小值。我们的方法能够为迭代算法提供一个良好的起点,或者可以将其用作新的波前估计方法。当波前像差较小时,可以使用线性项来近似波前,这会导致像差参数中的二次点扩展函数(PSF)。提出的方法涉及记录两个或更多个分集图像,并且基于前述的近似,通过求解双线性方程组来估计像差参数和物体,该双线性方程组是通过从每个分集图像中减去焦平面图像而获得的。此外,由于PSF的梯度具有简单的解析公式,使用二次PSF可以提高常规PD算法的性能。©(2012)COPYRIGHT光电仪器工程师协会(SPIE)。摘要的下载仅允许个人使用。

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