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Filter construction using Ronchi masks and Legendre polynomials to analyze the noise in aberrations by applying the irradiance transport equation

机译:使用RONCHI MASKS和LEGENDRE多项式的滤波器结构通过应用辐照传输方程来分析像差噪声

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We tested different optical elements placed in three different positions by applying the irradiance transport equation (ITE), obtaining the wavefront [W(x, y)] and aberration surface [AS(r, theta)]. The existing noise in the captures I as well as in the W and AS were analyzed applying several filters: first a filter based on Legendre polynomials (LP), generating the most probable points increasing the data resolution; second, a filter based on a 50 deg 2D-LP was used as a multilineal fit (multiple linear regression); and third, an ideal bandpass filter in the Fourier space after inducing a periodicity using Ronchi simulated masks with periods in x, y, x y was used to perform data scanning (similar to the four-step phase-shifting method). Signal-to-noise ratio values were obtained for each proposed filter along with the most probable image free from noise, determined from a linear combination of the original data and the applied filters. (C) 2020 Optical Society of America
机译:我们通过施加辐照度传输方程(ITE)来测试将不同的光学元件放置在三个不同位置,获得波前[W(x,y)]和像差表面[作为(r,θ)]。 捕获I以及W中的现有噪声以及分析应用若干过滤器:首先是基于Legendre多项式(LP)的过滤器,产生增加数据分辨率的最可能点; 其次,基于50℃-1P的过滤器用作多线圈拟合(多个线性回归); 第三,使用具有X,Y,X Y期间的ronchi模拟掩模在触发周期性之后的傅立叶空间中的理想带通滤波器用于执行数据扫描(类似于四步相移方法)。 为每个所提出的滤波器一起获得信噪比值以及从原始数据和施加的滤波器的线性组合确定的最可能图像。 (c)2020美国光学学会

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    《Applied optics》 |2020年第13期|共10页
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