Accelerating wavefront-sensing-based autofocusing using pixel reduction in spatial and frequency domains

Xu Jing; Kong Yan; Jiang Zhilong; Gao Shumei; Xue Liang; Li Fei; Liu Cheng; Wang Shouyu

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Accelerating wavefront-sensing-based autofocusing using pixel reduction in spatial and frequency domains

机译：使用空间和频率域的像素减少加速波前感应的自动聚焦

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The wavefront-sensing-based autofocus method can precisely determine the focal plane only with few captured images; however, the required phase retrieval, numerical wavefront propagation, and in-focus determination are often time consuming, inevitably limiting its high-speed applications. To accelerate its processing speed, the pixel-reduced wavefront-sensing-based autofocus (PRWSA) method is proposed: with field of interest selection as pixel reduction in the spatial domain and image compression as pixel reduction in the frequency domain, the wavefront with fewer pixels can be used for autofocusing, significantly decreasing the processing time. With simulations, pixel reduction criteria in both the spatial and frequency domains are first determined and tested; next certificated by experiments, the PRWSA method is proved to be well implemented for different specimens. Considering it can precisely locate the focal plane with simple setup, and accelerate the processing speed, this PRWSA method can be a potential tool for high-speed autofocusing. (C) 2019 Optical Society of America

机译：基于波前感应的自动对焦方法可以仅用很少的捕获图像精确地确定焦平面;然而，所需的相位检索，数值波前传播和焦点确定通常是耗时的，不可避免地限制其高速应用。为了加速其处理速度，提出了像素减少的基于波线感应的自动对焦（PRWSA）方法：利益选择作为空间域中的像素减少，作为频域的像素减少，具有较少的波前沿像素可用于自动聚焦，显着降低处理时间。利用仿真，首先确定并测试两个空间和频率域中的像素还原标准;下次通过实验证明，证明了PRWSA方法为不同的标本良好实施。考虑到它可以精确地定位具有简单设置的焦平面，并加速处理速度，该方法可以是高速自动聚焦的潜在工具。（c）2019年光学学会

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《Applied optics》 |2019年第11期|共10页
作者
Xu Jing; Kong Yan; Jiang Zhilong; Gao Shumei; Xue Liang; Li Fei; Liu Cheng; Wang Shouyu;
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Jiangnan Univ Sch Sci Computat Opt Lab Wuxi 214122 Jiangsu Peoples R China;

Jiangnan Univ Sch Sci Computat Opt Lab Wuxi 214122 Jiangsu Peoples R China;

Jiangnan Univ Sch Sci Computat Opt Lab Wuxi 214122 Jiangsu Peoples R China;

Jiangnan Univ Sch Sci Computat Opt Lab Wuxi 214122 Jiangsu Peoples R China;

Shanghai Univ Elect Power Coll Elect &

Informat Engn Shanghai 200090 Peoples R China;

Nanjing Agr Univ Single Mol Nanometry Lab Sinmolab Nanjing 210095 Jiangsu Peoples R China;

Jiangnan Univ Sch Sci Computat Opt Lab Wuxi 214122 Jiangsu Peoples R China;

Jiangnan Univ Sch Sci Computat Opt Lab Wuxi 214122 Jiangsu Peoples R China;

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Accelerating wavefront-sensing-based autofocusing using pixel reduction in spatial and frequency domains

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