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Optimization of wavefront coding imaging system using heuristic algorithms

机译:利用启发式算法优化波前编码成像系统

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Wavefront Coding (WFC) systems make use of an aspheric Phase-Mask (PM) and digital image processing to extend the Depth of Field (EDoF) of computational imaging systems. For years, several kinds of PM have been designed to produce a point spread function (PSF) near defocus-invariant. In this paper, the optimization of the phase deviation parameter is done by means of genetic algorithms (GAs). In this, the merit function minimizes the mean square error (MSE) between the diffraction limited Modulated Transfer Function (MTF) and the MTF of the system that is wavefront coded with different misfocus. WFC systems were simulated using the cubic, trefoil, and 4 Zernike polynomials phase-masks. Numerical results show defocus invariance aberration in all cases. Nevertheless, the best results are obtained by using the trefoil phase-mask, because the decoded image is almost free of artifacts.
机译:波前编码(WFC)系统利用非球面相位掩模(PM)和数字图像处理,以扩展计算成像系统的景深(EDOF)。多年来,几种PM旨在在散焦 - 不变的附近产生点传播功能(PSF)。在本文中,通过遗传算法(气体)来完成相位偏差参数的优化。在此,优异函数最小化衍射有限调制传递函数(MTF)之间的平均方误差(MSE)和系统的波前编码的系统的MTF。使用立方体,三方液和4个Zernike多项式相位掩模模拟WFC系统。数值结果显示所有情况下的Defocus Invariance像差。然而,通过使用三叶液相掩模获得最佳结果,因为解码图像几乎没有伪影。

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