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Optimal principal component analysis-based numerical phase aberration compensation method for digital holography

机译:基于最优主成分分析的数字全息数字相差补偿方法

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In this Letter, an accurate and highly efficient numerical phase aberration compensation method is proposed for digital holographic microscopy. Considering that most parts of the phase aberration resides in the low spatial frequency domain, a Fourier-domain mask is introduced to extract the aberrated frequency components, while rejecting components that are unrelated to the phase aberration estimation. Principal component analysis (PCA) is then performed only on the reduced-sized spectrum, and the aberration terms can be extracted from the first principal component obtained. Finally, by oversampling the reduced-sized aberration terms, the precise phase aberration map is obtained and thus can be compensated by multiplying with its conjugation. Because the phase aberration is estimated from the limited but more relevant raw data, the compensation precision is improved and meanwhile the computation time can be significantly reduced. Experimental results demonstrate that our proposed technique could achieve both high compensating accuracy and robustness compared with other developed compensation methods. (C) 2016 Optical Society of America
机译:在这封信中,提出了一种用于数字全息显微镜的准确高效的数值相差补偿方法。考虑到大部分相位像差都位于低空间频域中,因此引入了傅里叶域掩码以提取像差频率分量,同时拒绝与相位像差估计无关的分量。然后仅对缩小尺寸的光谱执行主成分分析(PCA),并且可以从获得的第一主成分中提取像差项。最后,通过对减小尺寸的像差项进行过采样,可以获得精确的相位像差图,因此可以通过乘以其共轭来进行补偿。由于可以从有限但更相关的原始数据中估计相差,因此可以提高补偿精度,同时可以显着减少计算时间。实验结果表明,与其他已开发的补偿方法相比,我们提出的技术可以实现较高的补偿精度和鲁棒性。 (C)2016美国眼镜学会

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