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Optimization of wavefront coding imaging system using heuristic algorithms

机译:基于启发式算法的波前编码成像系统优化

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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)和数字图像处理来扩展计算成像系统的景深(EF)。多年来,已经设计了几种PM来产生散焦不变的点扩展函数(PSF)。在本文中,相位偏差参数的优化是通过遗传算法(GA)完成的。在这种情况下,优值函数将衍射受限的调制传递函数(MTF)与以不同失焦进行波前编码的系统的MTF之间的均方误差(MSE)降至最低。使用立方,三叶形和4个Zernike多项式相位掩码对WFC系统进行了仿真。数值结果表明在所有情况下散焦不变性像差。然而,由于解码图像几乎没有伪像,因此通过使用三叶相位掩模可以获得最佳结果。

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